429 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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visit our dedicated webpage at https://www.plymouth.ac.uk/schools This role is based at the Plymouth University North Campus office, with expected attendance approximately once a week for team meetings
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establishing a strong academic track record. You may have worked in MRI research previously or have strong computational / AI / machine learning skills used in other areas of research. Essential criteria PhD
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visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Assistant/Research Fellow to join the Department of Civil and Environmental Engineering at Brunel University
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) · Start date: Available immediately · Contract: Fixed term for 3 years · Location: Sutton Bonington Campus, University of Nottingham For more information about our research group, please visit: https
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: People.recruitment@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home - Please quote reference SAE-030473 This vacancy will close for applications at midnight on the closing date
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An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits
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for MND which could be translated into the clinic. The idea is to use cutting edge machine learning to create clinically actionable predictions such as the time from diagnosis to requirement for a
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founded on the distinctive functionalities of this novel state of matter (see, for example, Nature Photonics, http://dx.doi.org/10.1038/s41566-024-01557-1 ). We are seeking a creative and capable researcher
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, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis