158 information-security "https:" "https:" "https:" "U.S" Postdoctoral positions at University of Oxford
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About the role We are seeking a full-time Postdoctoral Research Assistant to join Circular Economy and Sustainability Lab at the Department of Engineering Science (central Oxford). The post is
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of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data
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Roberts and Professor Matthew Wood at the Institute of Development and Regenerative Medicine on the Old Road Campus. The Roberts/Wood Labs at the University of Oxford is seeking a highly motivated
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Council (MRC), is fixed-term until 31 March 2027 and is available immediately. The group’s research focuses on research into oligosaccharides (carbohydrates in small clusters) and alterations in proteins
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The post is based in the Nuffield Department of Clinical Neurosciences at the John Radcliffe Hospital in Oxford. Reporting to Professor Nele Demeyere and Dr Sam S. Webb. The post holder is a central
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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income generation. This position is based in central Oxford. Each position is a full-time, fixed-term position for three years, available from June 2026. The closing date for applications is 12 noon
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. The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience
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. The post holder will be reporting to the Principal Investigator, and provide guidance to junior members of the group, such as PhD students and interns. This role is offered with full time hours, on a fixed
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine