82 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral positions at University of Oxford
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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November and December 2026. The project involves collaboration with the PI Prof. Paul Goldberg, and collaborators at King's College London. The project web page is at https://www.cs.ox.ac.uk/people
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). The postholder will lead on this defined component of a strategically important Oxford–AbbVie collaborative programme, embedded within a larger team of 4 Postdocs. The role combines scientific independence with
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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at: https://www.pnas.org/doi/10.1073/pnas.2412424121 https://www.medrxiv.org/content/10.64898/2026.02.27.26347250v1 About you The postholder will have a strong quantitative background with application
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with Dr Sara Asu Schroer, you will be responsible for carrying out a multi-sited ethnographic case study with a focus on England, contributing to a comparative programme spanning Spain, Norway
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on the research activity of the lab is available at: https://www.rinaldi-lab.com/ . The successful candidate will be involved with study design and experimental conduct. The post holder will work at the newly built
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Population Health, Mathematics, Statistics, Computing, or a related subject, alongside demonstrable experience working with large scale datasets. Proficiency in the use of statistical programming languages and