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Location: Battersea/Hybrid (minimum 3 days on campus) FTC from 1.11.26 (8 month post) Would you like to be part of a major research initiative working at the Centre for Materials Science & Culture
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research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory
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Programme Grant project called “Electrical Composites” (EleComp) that involves eleven academics from Imperial College London, University of Bristol and Durham University. The successful applicant will work
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route to fertiliser production and improved food and energy security. You will work within a highly collaborative research environment, engaging with colleagues across Earth Sciences, Computer Science
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Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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strong expertise in mixed-methods research and evaluation, together with the ability to work independently within an established research programme. You will be experienced in planning and managing
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security. TEAM-AI aims to ensure that advances in AI and data science deliver meaningful benefits for public breeding programmes and the farmers they target. This role offers a unique opportunity to combine
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to ensure that advances in AI and data science deliver meaningful benefits for public breeding programmes and the farmers they target. This role offers a unique opportunity to combine expertise in biometrics
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, Headington, Oxford). The post is funded by the Horizon Europe program for 12 Months. You will be based in Nuffield Department of Surgical Sciences, John Radcliffe Hospital as your normal place of work; but you
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qualitative methods, and a pro active approach to learning new skills. A recent degree in the social sciences or a related field would be beneficial, especially computational social science, behavioural science