409 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Oxford
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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. The overall role of the post is to co-ordinate and participate in data collection and analysis that will help us fully understand how the socio-economic and demographic changes of the past half-century have
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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partners to design, implement and refine robust MEL approaches across a diverse research portfolio. This will include overseeing systematic data collection and analysis using quantitative and qualitative
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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the deadline applicable to your course. For further information on these scholarships please see the dedicated Ertegun Graduate Scholarship Programme in the Humanities website. You will be able to find resources
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. This scholarship is not open to applications from candidates who hold deferred offers for 2026-27. For more information please see the Academic Futures webpage. Selection is expected to take place in June 2026.
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) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 10th April 2026 can be considered. You will be required
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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relevant PhD/DPhil or be near completion, together with relevant experience in the field. Informal enquiries may be addressed to Prof Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information