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Fidelity rolls out five thematic ETFs in Europe – ETF Strategy

Fidelity International has introduced a suite of five thematic equity ETFs in Europe targeting the emerging technology themes of clean energy, electric vehicles & future transportation, cloud computing, digital health, and the metaverse.

Fidelity has launched its first thematic equity ETFs in Europe.

The funds are linked to indices developed in-house by Fidelitys quantitative research and investment team.

Each index covers a broad global universe consisting of stocks from across the market capitalization spectrum while using a combination of company revenue data and natural language processing (NLP) to select companies best aligned with the underlying theme.

NLP is used to analyze text-based documents to identify companies with relevant keywords associated with business activities linked to a specific theme. Stocks are then assigned a thematic relevancy score and those with the highest scores are selected for inclusion in the index.

Companies must typically generate at least 50% of their total revenue from business activities relevant to the theme to be eligible for inclusion.

Each index also includes an environmental, social, and governance (ESG) screen which, according to Fidelity, results in at least 50% of each indexs underlying constituents having sustainable characteristics. As such, each ETF is classified as an Article 8 product under the European Unions Sustainable Finance Disclosure Regulation (SFDR).

Commenting on the new listings, Nick King, Head of ETFs at Fidelity International, said: Thematic investing seeks to identify and capitalize on long-term, structural trends by investing across countries and sectors to capture transformative drivers of the global economy, businesses, and society. Many of these themes have an enhanced focus on sustainability as well as seeking to address specific social and environmental challenges.

Our thematic indices have been constructed through a collaboration of our proprietary fundamental, sustainable, and quantitative research capabilities to ensure that we are providing clients with exposure to the best stocks in each particular theme.

The ETFs have been listed across Europe including on London Stock Exchange, Deutsche Brse Xetra, and SIX Swiss Exchange, with a further listing on Borsa Italiana expected in the near future.

Each fund comes with an expense ratio of 0.50%.

The ETFs

The Fidelity Clean Energy UCITS ETF (FRNG) tracks the Fidelity Clean Energy ESG Tilted Index. The index reflects the performance of companies that distribute, produce or provide technology or equipment to support the production of energy from solar, wind, hydrogen, and other renewable sources.

The Fidelity Electric Vehicles and Future Transportation UCITS ETF (FDRV) tracks the Fidelity Electric Vehicles and Future Transportation ESG Tilted Index. The index reflects the performance of companies engaged in the production of electric or autonomous vehicles and their components, as well as firms developing technologies or energy systems that aim to change the future of transportation.

The Fidelity Cloud Computing UCITS ETF (FCLD) tracks the Fidelity Cloud Computing ESG Tilted Index. The index reflects the performance of companies that provide products or services enabling the increased adoption of cloud computing, characterized by the delivery of computing services over the internet.

The Fidelity Digital Health UCITS ETF (FDHC) tracks the Fidelity Digital Health ESG Tilted Index. The index reflects the performance of companies providing healthcare records management, connected healthcare devices, surgical robotics, telemedicine, and other technology-enabled healthcare products and services.

The Fidelity Metaverse UCITS ETF (FMTV) tracks the Fidelity Metaverse ESG Tilted Index. The index reflects the performance of companies that develop, manufacture, distribute, and sell products or services related to establishing and enabling the metaverse.

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Digerati moving to Nasdaq from OTC in merger deal with blank-check acquisition firm – San Antonio Express-News

The San Antonio cloud computing companys CEO said the move from the OTC market would enable it to speed up its strategy of growth through mergers and acquisitions.

It provides us with the currency of a primary stock exchange; we really havent had the benefit of that historically, being on the OTC market, Digerati CEO Arthur L. Smith said Tuesday. We could have taken an alternative avenue to uplist, but this was a better economic path for the company and its shareholders.

The all-stock transaction will give the combined company an estimated initial equity value of $228 million, the companies said. Its expected to close in the fourth quarter.

On ExpressNews.com: San Antonios Digerati Technologies swings from loss to a profit on record revenue

Other details:

Digerati management will remain in place.

Its current board will remain, with two new directors: one additional director to be appointed and Shawn Rochester, CEO of Minority Equality Opportunities Acquisition, joining when the transaction closes.

Smith said Digerati would become a subsidiary of Minority Equality Opportunities Acquisition. Existing Digerati shareholders will receive 100 percent of their equity in the new company.

In its simplest form, this transaction can be viewed as Digerati acquiring a Nasdaq vehicle for purposes of listing on Nasdaq, Smith said.

Smith said he was introduced to Minority Equality Opportunities Acquisition Inc. by Maxim Group, a New York-based investment banking firm.

The Waxahachie company was founded last year and went public in August 2021. It calls itself the first minority-led special purpose acquisition company, or SPAC, to list on Nasdaq with the mission of executing a business combination with a minority owned, led or founded business.

A SPAC raises money through an initial public offering to find an existing company that can benefit from more capital and merging with it. Theyre also known as blank-check companies.

It was unclear whether the combined companies will trade under the Digerati name.

Digerati was born in 1994 as ATSI Communications Inc., an international telecommunications operator that served markets in Latin America. Two years later, it launched GlobalSCAPE Inc., an internet software company that was acquired in 2020 by HelpSystems, a Minnesota-based software firm.

Long an earnings laggard, Digerati attributed recent record-breaking revenue growth to its acquisitions of SkyNet Telecom in December and NextLevel Internet in February. In the three months ended April 30, the company swung to a profit as revenue jumped 118 percent to $8.2 million.

On ExpressNews.com: San Antonio-based Digerati Technologies acquires SkyNet Telecom

Those acquisitions were only the latest. In June 2021, it entered a partnership with Sandler Partners, a fast-growing business communications firm headquartered in Redondo Beach, Calif. In November 2020, it acquired two Florida business communication firms, Nexogy and ActivePBX.

Digerati said its business grew through the pandemic as demand from small businesses for its cloud computing and communication services increased. Its customer count was 3,963 as of April 30, up from 2,612 a year earlier.

In a statement, Minority Equality Opportunities Acquisition said it had been searching for historically undercapitalized minority business enterprises for mergers and acquisitions.

Smith, who identifies as Latino, was born in McAllen and has lived in San Antonio since 1988. About half of the employees at Digerati are members of a minority growth, with 45 percent being Latino.

We did this because of the economic benefits and to fulfill a key corporate goal of listing on Nasdaq, Smith said. And of course, it gives us access to capital. It did fulfill the mission for MEOA. It was a good fit.

The merger news gave Digerati shares a lift. They gained nearly 16 percent Tuesday to close at nearly 13 cents. That put its market capitalization at $17.84 million.

Shares in Minority Equality Opportunities Acquisition fell slightly to close at $10.12. Its market cap slipped to $161.62 million.

eric.killelea@express-news.net

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Digerati moving to Nasdaq from OTC in merger deal with blank-check acquisition firm - San Antonio Express-News

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Brown welcomes talented group of 62 new faculty members – Brown University

PROVIDENCE, R.I. [Brown University] As the 2022-23 academic year begins at Brown and more than 3,203 new undergraduate, graduate and medical students arrive on College Hill, the University also welcomes a group of 62 dynamic new scholars and educators to the Brown faculty.

With research and teaching expertise on topics ranging from global health security to climate change, brain science to diaspora studies, and architecture to algorithms, Browns newest faculty members represent a wide range of fields, backgrounds and viewpoints. Welcoming faculty with such diversity of experience comes at a time when Brown is developing an operational plan for significantly growing its research enterprise.

Our faculty are accomplished researchers, creative artists and educators whose work expands knowledge at the leading edge of their disciplines and, in partnership with Brown students and staff, makes a positive impact in communities both locally and across the globe, said Provost Richard M. Locke. Im delighted to welcome this cohort of talented scholars to Brown to build on and amplify efforts across campus to develop solutions to many of the most vexing questions faced by society today.

The arrival of 62 new faculty members reflects Brown's strategic efforts to recruit top scholars from research areas articulated in the Building on Distinction strategic plan and related operational plans in which the University is uniquely poised to have a meaningful impact. And with nearly 30% of this years new faculty members coming from groups historically underrepresented in higher education, strategic investments in actions outlined in Brown's Diversity and Inclusion Action Plan are helping to ensure that faculty represent the varied backgrounds, perspectives and experiences critical to advancing knowledge, learning and discovery.

In addition, multiple new deans (including those with interim appointments) will lead schools and academic units in their first full academic years in 2022-23: Ronald Aubert, interim dean of the School of Public Health; Tejal Desai, dean of the School of Engineering; Dr. Mukesh K. Jain, dean of the Warren Alpert Medical School; Thomas Lewis, interim dean of the Graduate School; Shankar Prasad, dean of the School of Professional Studies; and Leah VanWey, dean of the faculty.

Desai, who began her tenure at Brown on Sept. 1, will deliver the keynote address at this years Opening Convocation ceremony on Saturday, Sept. 10.

The new professors, associate professors, assistant professors and lecturers will serve across the Universitys academic departments, divisions and schools. The full listing of new faculty, with links for more information about each of them, follows below.

Jayna BrownProfessor of Theatre Arts and Performance Studies

John EasonWatson Family University Associate Professor of Sociology and International and Public Affairs

Kent KleinmanFaculty Director of the Brown Arts Institute, Professor of the Practice of History of Art and Architecture

Karin WulfBeatrice and Julio Mario Santo Domingo Director and Librarian of the John Carter Brown Library, Professor of History

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UM-Flint computer science professor awarded NSF grant – University of Michigan-Flint

After several years of submitting proposals, Mark Allison, an associate professor of computer science at the University of Michigan-Flint's College of Innovation & Technology, has secured a research grant through the National Science Foundation. The grant will aid his work in the design of AI strategies and structures to support a leadership framework for dissimilar robots cooperating in very large teams.

"Leadership roles and hierarchies are not uniquely human. They emerge in nature when animals coordinate in groups toward a common goal," said Allison. This project draws inspiration from these systems to provide resilient real-time learning and optimization within multi-robot missions.

Allison says that the intention is to extend funding for this research and continue support for student research into additional robotic infrastructure. The grant awarded for Allison's proposal was approximately $600,000 split between six partner institutions.

Each year, tens of thousands of proposals are submitted to the NSF, but less than 25% receive funding. The NSF is the only federal agency supporting all fields of fundamental science and engineering outside of the medical sciences.

The institutions receiving this grant worked in collaboration with Allison, each bringing different areas of expertise, including cybersecurity, edge computing, and robotics and autonomous systems, the latter of which is Allison's area of expertise. The funds will go toward student research and projects, new software and hardware, and robotics equipment, and will be dispersed during a three-year span.

Allison also worked in partnership with the American Society for Engineering Education to receive initial funding for the preliminary work that needed to be done to procure the NSF grant. Some of this work included a three-part virtual research series to help acclimate students to the type of research work that Allison plans to complete utilizing NSF funding.

These virtual presentations included:

"Computer science is a huge field and you can't be an expert in everything," said Allison. "It's important to bring other perspectives and expertise into this research."

Allison added that the connections and collaboration that occur between institutions as part of this research are important for CIT students because it opens a window into other areas of expertise and builds partnerships for future research. He is confident that opportunities like this will draw high-quality students in the areas of computer science and engineering, making CIT a sought-after learning destination for technology students.

"What I'm trying to do is build and encourage a culture of research, and hopefully this funding will help move that initiative forward," he said.

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UM-Flint computer science professor awarded NSF grant - University of Michigan-Flint

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Swedish-Speaking Professor or Assistant / Associate Professor in Computer Science job with UNIVERSITY OF HELSINKI | 307838 – Times Higher Education

The University of Helsinki (https://www.helsinki.fi/en) is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits.

As a part of the Faculty of Science, the Department of Computer Science (https://www.helsinki.fi/en/computer-science) is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The number of professors at the department has grown in recent years and there are now 32 professorships. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems.The department has extensive international collaboration with companies and universities. Within teaching, the departments professors and staff are in charge of the Bachelors, Masters, and Doctoral Programmes in Computer Science, as well as the separate Masters Programme in Data Science, in which other departments also participate.

The Department of Computer Science at the Faculty of Science of the University of Helsinki invites applications for a

SWEDISH-SPEAKING PROFESSOR OR ASSISTANT/ASSOCIATE PROFESSOR IN COMPUTER SCIENCE

aiming to strengthen research areas in computer science at the university. We are looking for a new professor or assistant/associate professor to carry out research into the field of computer science in the departments current focus areas. Specifically, we invite candidates in artificial intelligence (especially societal aspects of AI), networking (especially cyber security), software engineering, or algorithms to apply, but highly qualified applicants in other areas of computer science will also be considered.

The person to be chosen must have a strong scientific track record in their specific field of computer science evidenced by publications in top tier forums of the field. The selected candidate must possess excellent skills in Swedish language as the teaching duties of this position are to be carried out in Swedish.

For more information on the position, qualifications and applying, please check the Swedish version of the job announcement.

The deadline for applications is October 25, 2022.

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Swedish-Speaking Professor or Assistant / Associate Professor in Computer Science job with UNIVERSITY OF HELSINKI | 307838 - Times Higher Education

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Academy in DC Developing Next Generation of Digital Innovators – NBC4 Washington

A D.C. school preparing students for high-paying jobs in the computer science field started classes in a new building Tuesday.

Sixth and seventh graders at the computer science focused Digital Pioneers Academy started their schoolyear in a new space in Southeast D.C.

Our mission is to develop the next generation of innovators, founder and CEO Mashea Ashton said. We really want our scholars to be a part of creating in the digital economy, not just consuming.

The academy is a free public charter school. Students are selected through a random lottery system primarily serving students who live east of the Anacostia River in Wards 7 and 8.

Which are some of the most under-resourced parts of the city, however, we believe our scholars have so much potential and if given the right opportunity, they can accelerate at incredibly high levels, Ashton said.

Kiyah Holloman of D.C. is in her fourth year teaching sixth grade English language arts and believes in the mission.

We really focus on 21st century jobs and 21st careers so that we look at the path to where theyre going to go after they leave here, making sure that they have the high-paying, high-demand job, and I want to be a part to make sure they get that, she said.

Washington, D.C., Maryland and Virginia local news, events and information

The school has a second campus on Capitol Hill serving students in grades 8 through 10. Eventually, they want to expand to 12th grade.

The school provides computer science classes every day, coding and robotics.

The academy still has space for sixth graders.

To get more information about the academy, go to its website.

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Analyzing the potential of AlphaFold in drug discovery – MIT News

Over the past few decades, very few new antibiotics have been developed, largely because current methods for screening potential drugs are prohibitively expensive and time-consuming. One promising new strategy is to use computational models, which offer a potentially faster and cheaper way to identify new drugs.

A new study from MIT reveals the potential and limitations of one such computational approach. Using protein structures generated by an artificial intelligence program called AlphaFold, the researchers explored whether existing models could accurately predict the interactions between bacterial proteins and antibacterial compounds. If so, then researchers could begin to use this type of modeling to do large-scale screens for new compounds that target previously untargeted proteins. This would enable the development of antibiotics with unprecedented mechanisms of action, a task essential to addressing the antibiotic resistance crisis.

However, the researchers, led by James Collins, the Termeer Professor of Medical Engineering and Science in MITs Institute for Medical Engineering and Science (IMES) and Department of Biological Engineering, found that these existing models did not perform well for this purpose. In fact, their predictions performed little better than chance.

Breakthroughs such as AlphaFold are expanding the possibilities for in silico drug discovery efforts, but these developments need to be coupled with additional advances in other aspects of modeling that are part of drug discovery efforts, Collins says. Our study speaks to both the current abilities and the current limitations of computational platforms for drug discovery.

In their new study, the researchers were able to improve the performance of these types of models, known as molecular docking simulations, by applying machine-learning techniques to refine the results. However, more improvement will be necessary to fully take advantage of the protein structures provided by AlphaFold, the researchers say.

Collins is the senior author of the study, which appears today in the journal Molecular Systems Biology. MIT postdocs Felix Wong and Aarti Krishnan are the lead authors of the paper.

Molecular interactions

The new study is part of an effort recently launched by Collins lab called the Antibiotics-AI Project, which has the goal of using artificial intelligence to discover and design new antibiotics.

AlphaFold, an AI software developed by DeepMind and Google, has accurately predicted protein structures from their amino acid sequences. This technology has generated excitement among researchers looking for new antibiotics, who hope that they could use the AlphaFold structures to find drugs that bind to specific bacterial proteins.

To test the feasibility of this strategy, Collins and his students decided to study the interactions of 296 essential proteins from E. coli with 218 antibacterial compounds, including antibiotics such as tetracyclines.

The researchers analyzed how these compounds interact with E. coli proteins using molecular docking simulations, which predict how strongly two molecules will bind together based on their shapes and physical properties.

This kind of simulation has been successfully used in studies that screen large numbers of compounds against a single protein target, to identify compounds that bind the best. But in this case, where the researchers were trying to screen many compounds against many potential targets, the predictions turned out to be much less accurate.

By comparing the predictions produced by the model with actual interactions for 12 essential proteins, obtained from lab experiments, the researchers found that the model had false positive rates similar to true positive rates. That suggests that the model was unable to consistently identify true interactions between existing drugs and their targets.

Using a measurement often used to evaluate computational models, known as auROC, the researchers also found poor performance. Utilizing these standard molecular docking simulations, we obtained an auROC value of roughly 0.5, which basically says youre doing no better than if you were randomly guessing, Collins says.

The researchers found similar results when they used this modeling approach with protein structures that have been experimentally determined, instead of the structures predicted by AlphaFold.

AlphaFold appears to do roughly as well as experimentally determined structures, but we need to do a better job with molecular docking models if were going to utilize AlphaFold effectively and extensively in drug discovery, Collins says.

Better predictions

One possible reason for the models poor performance is that the protein structures fed into the model are static, while in biological systems, proteins are flexible and often shift their configurations.

To try to improve the success rate of their modeling approach, the researchers ran the predictions through four additional machine-learning models. These models are trained on data that describe how proteins and other molecules interact with each other, allowing them to incorporate more information into the predictions.

The machine-learning models learn not just the shapes, but also chemical and physical properties of the known interactions, and then use that information to reassess the docking predictions, Wong says. We found that if you were to filter the interactions using those additional models, you can get a higher ratio of true positives to false positives.

However, additional improvement is still needed before this type of modeling could be used to successfully identify new drugs, the researchers say. One way to do this would be to train the models on more data, including the biophysical and biochemical properties of proteins and their different conformations, and how those features influence their binding with potential drug compounds.

This study both lets us understand just how far we are from realizing full machine-learning-based paradigms for drug development, and provides fantastic experimental and computational benchmarks to stimulate and direct and guide progress towards this future vision, says Roy Kishony, a professor of biology and computer science at Technion (the Israel Institute of Technology), who was not involved in the study.

With further advances, scientists may be able to harness the power of AI-generated protein structures to discover not only new antibiotics but also drugs to treat a variety of diseases, including cancer, Collins says. Were optimistic that with improvements to the modeling approaches and expansion of computing power, these techniques will become increasingly important in drug discovery, he says. However, we have a long way to go to achieve the full potential of in silico drug discovery.

The research was funded by the James S. McDonnell Foundation, the Swiss National Science Foundation, the National Institute of Allergy and Infectious Diseases, the National Institutes of Health, and the Broad Institute of MIT and Harvard. The Antibiotics-AI Project is supported by the Audacious Project, the Flu Lab, the Sea Grape Foundation, and the Wyss Foundation.

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Lecturer / Senior Lecturer in Computer Science, Formal Methods and Logic job with UNSW Sydney | 307657 – Times Higher Education

Summary: Join an organisation that is shaping the future direction of computing in Australia in a role that conducts independent research and delivers excellent teaching in Formal Methods and Logic in Computer Science.

Job Details

The Opportunity

Join the School of Computer Science and Engineering (CSE) as a Lecturer/Senior Lecturer. You will be conducting independent research and delivering excellent teaching.

This position is in the area of Formal Methods and Logic in Computer Science, with preference for algorithmic verification and applications towards areas including security foundations, distributed computing, hybrid systems and autonomous systems.

Formal Methods and Logic are well represented at the School. The Formal Methods Group works on developing the theoretical foundations for reasoning about computational systems, and enabling computers themselves to perform such reasoning, to support the development of computational systems to the highest levels of assurance concerning their correctness, security and reliability. Specific areas of current focus are foundational models and logics for reasoning about fault-tolerant distributed computing, information flow, privacy, machine learning and smart contracts in blockchain systems. In teaching, we are developing a pedagogy in which students are first motivated to reason informally but rigorously (e.g., using assertions and invariants) about program correctness and program derivation, and then introduced to program verifiers such as Dafny. Advanced teaching areas covered by the group include theory of computing, concurrency theory, and algorithmic verification. The School's Trustworthy Systems Group concentrates on provable correctness for an actual operating-system kernel (seL4) and the Knowledge Representation Group applies logic in AI.

The ideal candidate will have a track record and an ongoing research program of use-inspired basic research in Formal Methods in which new methods and theories are developed that help to write programs that are provably correct, with applications to the programming challenges of today and the future (e.g., privacy, security, reliability and autonomy). It is desirable that the candidate has made contributions to the theoretical foundations of model checkers, program verifiers (e.g., Dafny) or automatic theorem provers, and has experience in having used them on actual program-development projects. The candidate will have enthusiasm for conveying both theory and practice to students.

Evidence of publications in these venues (or similar) would be desirable:

This is an opportunity to join an organisation that is helping to shape the future direction of computing in Australia. The students and research produced in CSE can impact the world!

The role of Lecturer/Senior Lecturer reports to the Head of School and has no direct reports.

The School

Computer Science and Engineering (CSE) in the Faculty of Engineering at UNSW is one of the largest Schools of its kind in Australia with the greatest impact on society through our academic excellence in teaching, research, commercial and social engagement. The School is the largest with the Faculty of Engineering with over 3,400 students and 60 academic staff which is growing to 70 over the coming year with an operating budget of over $20 million. CSE is undergoing a period of expansion, advertising and recruiting for over 10 new academic staff in 2022.

Our academic staff have research focus in areas including Artificial Intelligence, Biomedical Image Computing, Data and Knowledge, Embedded Systems, Networked Systems and Security, Human Centred Computing, Programming Languages and Compilers, Service Oriented Computing, Theoretical Computer Science and Trustworthy Systems.

CSE offers undergraduate programs in Software Engineering, Computer Engineering, Computer Science and Bioinformatics, as well as a number of combined degrees with other disciplines. CSE attracts excellent students who have an outstanding record in international competitions. People join CSE for the opportunity to work with top-tier students and to join a community of scholars who support them to achieve their full potential. CSE attracts the brightest students as we offer the most technically challenging computing degrees in Australia. The challenges we present, ensure our students reach their greatest potential and are ready to have a lasting impact on society.

Our school is located in the heart of Sydney, and is Australias largest centre for computationally driven business, design and culture. This vibrant nexus brings together a diversity of creative engineering and design forces: where world-leading education allows our thousands of students and researchers to become world-leading and world-building innovators. CSE students take an active role in the creation of a vibrant student experience, with many student societies and are actively involved in teaching and learning opportunities within the school. For further information about the School, please visit http://www.cse.unsw.edu.au

UNSW

UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australias global university. Following extensive consultation in 2015, UNSW identified three strategic priority areas. Firstly, a drive for academic excellence in research and education. Universities are often classified as research intensive or teaching intensive. UNSW is proud to be an exemplar of both. We are amongst a limited group of universities worldwide capable of delivering research excellence alongside the highest quality education on a large scale. Secondly, a passion for social engagement, which improves lives through advancing equality, diversity, open debate and economic progress. Thirdly, a commitment to achieving global impact through sharing our capability in research and education in the highest quality partnerships with institutions in both developed and emerging societies. We regard the interplay of academic excellence, social engagement and global impact as the hallmarks of a great forward-looking 21st century university.

Skills & Experience

Lecturer (Level B)

Senior Lecturer (Level C)

Additional details about the specific responsibilities for this position can be found in the position description.

To Apply: If you are interested in an academic career in a role that conducts independent research and delivers excellent teaching, please click the apply now button and submit your CV, Cover Letter and systematic responses to the Skills and Experience.

Applicants are actively encouraged not to include conference/journal/CORE rankings but should instead focus on the impact of their research outputs in describing the excellence of their research. Clarity concerning individual contributions to group outputs is essential.

Please note applications will not be accepted if sent to the contact listed below.

Contact:

Eugene Aves Talent Acquisition Consultant

E: eugene.aves@unsw.edu.au

Applications close: 11:50 pm (Sydney time), on Wednesday 10th October 2022

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

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Lecturer / Senior Lecturer in Computer Science, Formal Methods and Logic job with UNSW Sydney | 307657 - Times Higher Education

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Research Fellow, Computer Science job with NATIONAL UNIVERSITY OF SINGAPORE | 307509 – Times Higher Education

Job Description

The Computer Science Department at National University of Singapore is seeking a motivated postdoctoral researcher with expertise in artificial intelligence, specifically multi-agent reinforcement learning, starting immediately.

Qualifications

Job requirements:

How to apply:

To apply for this position, please send your CV to Harold Soh at harold@comp.nus.edu.sg with a cover letter and a brief statement of previous work and research interests. The initial term of appointment will be 1 year.The selected candidate will be offered competitive salaries and benefits.

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10) among the computer science departments in the world. Singapore is a vibrant, well-connected city with low taxes and research hub in Asia

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge CampusOrganization: School of ComputingDepartment : Department of Computer ScienceEmployee Referral Eligible: NoJob requisition ID : 17128

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Research Fellow, Computer Science job with NATIONAL UNIVERSITY OF SINGAPORE | 307509 - Times Higher Education

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Collegiate achievements and honors for Sauk Valley-area students – Sauk Valley Media

College students from the Sauk Valley area who achieve academic recognition.

Spring Commencement

Dixon. Gretchen Bushman, Bachelor of Science, Communication Sciences and Disorders

Summer Deans List

Erie. Bailey C Youngberg

Morrison. Terrie Carroll

Forreston. Gavin M Fuchs

Shannon. Kaylee N Hammer

College of Liberal Arts and Sciences

Award in Environmental Science

West Brooklyn. Pamela Taylor

Undergraduate Summer Research and Artistry Award

West Brooklyn. Pamela Taylor

Johnny Carson Center for Emerging Media Arts Cohort selections

Dixon. Laynie Berkey

Spring graduates

Byron. Eryn Murphy, Bachelor of Science, Health Promotion, Magna Cum Laude

Erie. Alexis Verkruysse, Bachelor of Science, Elementary Education, Cum Laude

Morrison. Kaleb Banks, Bachelor of Science, Wildlife Ecology and Mgt, Cum Laude

May and summer graduates

Erie. Shannon Fry, Master of Science in Nursing

Spring Honors

Forreston. Sierra Reining.

Mount Carroll. Natalie Limesand

Spring Deans List

Dixon. Kate Bonnell

Oregon. Jadyn Bothe

Polo. Cole Faivre, Valeria Viteri-Pflucker

Morrison. Cassie Osborn

Jadyn Bothe, of Oregon, IL, a first-year majoring in Neuroscience.

Summer graduates

Byron. Nolan J Bielskis, Bachelor of Science, Law Enforcement & Justice Administration

Forreston. Gavin M Fuchs, Bachelor of Science, Exercise Science

Rock Falls. Kristen Lynn Shumard, Master of Science in Education, Educational Leadership

Sterling. Emily A Heitman, Bachelor of Science, Law Enforcement & Justice Administration; Keonna C Lauts, Bachelor of Business, Management

Summer Graduation List

Byron. Caleb Denton, Bachelor of Science, Mechanical Engineering

Creston. Abigail Kerns, Bachelor of Science, Nursing

Dixon. Jennifer LeMoine, Bachelor of Arts, Environmental Studies; Jill Silvest, Master of Science in Education, Educational Administration

Leaf River. Samantha Poe, Bachelor of Fine Arts, Art Studio and Design - Art Studio

Morrison. Kay Smith, Bachelor of General Studies, General Emphasis; Micheal Baumann, Master of Science in Education, Physical Education - Exercise Physiology

Prophetstown. Zachary Stanhoff, Bachelor of Science, Mathematics - General Mathematics

Rochelle. Sandra Galvan, Master of Science, Applied Human Development & Family Sciences: Marriage and Family Therapy; Laura Lopez, Bachelor of Science, Nursing; Kyle Seebach, Master of Science, Data Analytics

Sterling. Natalie Ramos, Bachelor of Arts, Psychology

Steward. Kelly Wakefield, Master of Science in Education, SPED-Assistive Technology Used by Persons with Visual Impairments

Spring Deans list

Dixon. Cadyn Grafton, Grace Mitchell, Paige Stees, Emma Rapp, Kaitlyn Ortgiesen, Ashley Winters, Julia Heller, Anna Logan.

Franklin Grove. Connor Colby.

Sublette. Margaret Vaessen.

Erie. Kadin Shaheen.

Morrison. Lindsey Houldson.

Prophetstown. Emily Brooks, Sydney Minseen.

Rock Falls. Kassandra Estrella, Andrew Cannell.

Sterling. Brianna Juarez, Hunter Carrell, Grace Gould, Michael Frank, Brooke Wilson, Priscila Espinoza Castillo.

Mount Carroll. Trevor Bickelhaupt, Olivia Charles, Brianna Brice.

Savanna. Chance Williams.

Byron. Hector Hernandez.

Oregon. Claudia Reckamp.

Polo. Gabriel Boothe, Molly Duncan, Teagan Prescott.

Rochelle. Sterling Devers, Addison Curtis, Tara Leininger,

Stillman Valley. Brooke Mickey.

Bronze tablet list

Sterling. Kolten Conckle, liberal arts and sciences

Polo. Molly Duncan, agricultural, consumer and environmental sciences

Spring Semester graduates

Amboy. Lauren Gerdes. Master of Human Resources and Industrial Relations. Human Resources and Industrial Relations

Dixon. Patrick Johnson. Grainger Engineering. Bachelor of Science in Industrial Engineering. Industrial Engineering

Dixon. Ashley Winters. Liberal Arts and Sciences. Bachelor of Arts in Liberal Arts and Sciences. Political Science

Sterling. Briana Emini. Education. Bachelor of Science in Elementary Education. Elementary Education

Milledgeville. Kelley Parks. Master of Science in Agricultural Leadership, Education, and Communications Agricultural Leadership, Education, and Communications

Savanna. Jordan Anderson. Liberal Arts and Sciences. Bachelor of Arts in Liberal Arts and Sciences. Communication

Savanna. Glen Johnston. Agricultural, Consumer and Environmental Sciences. Bachelor of Science in Agricultural Leadership, Education, and Communications. Agricultural Leadership, Education, and Communications

Morrison. Krysta Mapes. Master of Science in Library and Information Science. Library and Information Science

Morrison. Brenna Rickels. Master of Accounting Science. Accountancy

Rock Falls. Daniela Cervantes. Grainger Engineering. Bachelor of Science in Computer Science. Computer Science

Rock Falls. Karley Crady. Media. Bachelor of Science in Journalism. Journalism

Rock Falls. Nolan Moeller. Master of Science in Accountancy. Accountancy

Rock Falls. Faith Sandrock. Agricultural, Consumer and Environmental Sciences. Bachelor of Science in Agricultural and Consumer Economics. Agricultural and Consumer Economics

Sterling. Mitchell Clodfelter. Agricultural, Consumer and Environmental Sciences. Bachelor of Science in Agricultural and Consumer Economics. Agricultural and Consumer Economics

Sterling. Kolten Conklen. Hunter-Scott. Liberal Arts and Sciences. Bachelor of Arts in Liberal Arts and Sciences. Global Studies. East Asian Languages and Cultures. Highest Distinction. Summa Cum Laude

Sterling. Brianna Juarez. Agricultural, Consumer and Environmental Sciences. Bachelor of Science in Animal Sciences. Animal Sciences

Sterling. Sarah Ogg. Liberal Arts and Sciences. Bachelor of Science in Liberal Arts and Sciences. Molecular and Cellular Biology

Sterling. Logan Rocha. Grainger Engineering. Bachelor of Science in Computer Engineering. Computer Engineering

Sterling. Jerry Rodriguez. Fine and Applied Arts. Bachelor of Science in Architectural Studies. Architectural Studies

Sterling. Katelyn Smoot. Agricultural, Consumer and Environmental Sciences. Bachelor of Science in Animal Sciences. Animal Sciences

Sterling. Jacqueline Walters. Master of Science in Agricultural Education. Agricultural Education

Ashton. Seth McMillan. Master of Science in Agricultural Leadership, Education, and Communications. Agricultural Leadership, Education, and Communications

Byron. Annabella Andreen. Applied Health Sciences. Bachelor of Science in Interdisciplinary Health Sciences. Interdisciplinary Health Sciences. Highest Honors

Byron. Rachael Bell. Grainger Engineering. Bachelor of Science in Bioengineering. Bioengineering

Byron. Eric Hoshaw. Grainger Engineering. Bachelor of Science in Engineering Physics. Engineering Physics

Dixon. Tayla Schwarz. Liberal Arts and Sciences. Bachelor of Science in Liberal Arts and Sciences. Psychology

Forreston. Christian Groenewold. Bachelor of Science in Civil Engineering. Civil Engineering, Honors

Forreston. Christina Lewis. Master of Education in Education Policy, Organization and Leadership. Education Policy, Organization and Leadership

Monroe Center. Caroline HIckey. Education. Bachelor of Science in Early Childhood Education. Early Childhood Education

Monroe Center. Joseph Madrid. Fine and Applied Arts. Bachelor of Science in Architectural Studies. Architectural Studies

Oregon. Benjamin Libman. Media. Bachelor of Science in Advertising. Advertising

Oregon. Paul Reckamp. Master of Science in Electrical and Computer Engineering. Electrical and Computer Engineering

Oregon. Sophie West. Liberal Arts and Sciences. Bachelor of Arts in Liberal Arts and Sciences. English

Polo. Molly Duncan. Agricultural, Consumer and Environmental Sciences. Bachelor of Science in Crop Sciences. Crop Sciences. Highest Honors

Polo. Randal Gabaldon. Gies Business. Bachelor of Science in Finance and in Marketing

Continued here:

Collegiate achievements and honors for Sauk Valley-area students - Sauk Valley Media

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