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Responsibilities of the Post Conduct research and development on sign language recognition using computer vision and machine learning techniques. Lead the implementation of inference models suitable for mobile and
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endowment in excess of $3.5 billion. Job Description Postdoctoral Research Fellow - Computer Science FTE Range $65,000 - $74,665 based on experience This postdoctoral position is to work with Prof. Aaron
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organoids, computational biology and informatics. Our laboratory research is translational, generating new insights that we develop for clinical impact through MitoCAMB and the Cambridge Clinical Vision
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Posting Details I. DEPARTMENT INFORMATION Job Description Summary: The Program on Extremism at George Washington University provides analysis on issues related to violent and non-violent extremism
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About us The UCL Institute for Global Health (IGH) is at the heart of UCL’s Grand Challenge of Global Health. The Institute’s vision is for a world where international policy on global health is
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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Number: 5269929 Distinguished Research Fellow- Khoury College of Computer Sciences About the Opportunity Khoury College of Computer Sciences is looking for a Distinguished Research Fellow. Responsibilities
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completed a Ph.D. in fields such as Computer Science, Applied Mathematics, Data Science, Engineering, or related disciplines by the time they assume their post. Review of applications will commence
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the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own