397 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" 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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). You will have experience of managing and working with clinical research or patient data e.g. data entry, data coding, entry validation and reporting, with critical and intelligent attention to detail
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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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materials, gathering and analysing quantitative data, conducting systematic literature reviews, contributing to publications and conference presentations, and supporting the day-to-day administration of
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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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. 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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to hear from you! The University of Oxford is partnering with Erin Hall-Westfall and Joanna Logan of Constellate Global Talent on this search. For more information, please go to www.weareconstellate.com to
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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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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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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