73 3-phd-positions-in-computer-science-artificial-intelligence Fellowship positions at University of Nottingham
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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ensure the reliability and accuracy of the measurement system before its full implementation in production. About the team - Rolls-Royce University Technology Centre (UTC) in manufacturing and on-wing
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the development of a novel sustainable brewing adjunct material. This project is sponsored by an industry partner and has set milestones and deliverables. Candidates must hold a PhD (or close to completion) in a
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Degree (or equivalent) in a related subject area; a PhD (or studying towards). The ability to work in a team and build relationships and collaborate with others both internally. Here are some examples of
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initially for three years, with the possibility of extending. Hours of work are full time (36.25 hours per week). The position is based in the School of Computer Science on our Jubilee Campus in Nottingham
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and
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the time you take up the role; and you have not held postdoctoral positions to pursue your own independent research for more than three years. These guidelines are helpful indications of the Centre’s
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in the School, but there is no requirement that the appointed individuals would need to live in Nottingham. This is a fixed term, full-time (36.25 hours per week) position available until 29 February
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We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC
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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence