342 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be
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lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident to lead a
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to conduct comparisons of their economic, technical and environmental performance. It is expected that the work will lead to publication and/or contribute to the dissemination at national/international
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, Computer Science and the Biosciences. You will be supervised by Amanda Wright (Optics and Photonics Research Group, Faculty of Engineering), Mike Somekh (Optics and Photonics Research Group, Faculty
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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learning, computational neuroscience, and cognitive science, and the student will work closely with both supervisors to move between these perspectives. We are looking for a candidate with a strong
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Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning
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The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within the research group of Professor
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was formed in 2013 to accelerate the development and evaluation of new technology to address unmet clinical needs related to mental health. You will join an established team, led by Professor Chris Hollis