538 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at University of Oxford
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Oxford-Weidenfeld and Hoffmann Scholarships and Leadership Programme For more information about the scholarship visit the Weidenfeld and Hoffmann Scholarships and Leadership Programme page.
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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and user support for the Collections Management System (EMu) used by the Museum of Natural History and the History of Science Museum. You will maintain, develop and implement data standards, policies
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data
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, where detailed information on the fund will be available in December 2025. The opening date for applications is 1st January 2026, and the closing date is 15th April 2026. We advise that you check the COSF
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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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at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University of Oxford, the successful candidate will join the Ideker
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reproducibility of biological assays, nucleic acid sequencing and analysis. You will hold an undergraduate degree in biomedical sciences with a working knowledge of data analysis including statistical analysis
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the REF Working Group and Unit of Assessment (UoA) Lead to provide specialist administrative support for the Department of Computer Science’s submission to REF 2029. The postholder will ensure relevant
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the Museum. Working closely with the Head of Finance, budget holders, project managers, income-generating teams and data colleagues, you will prepare and review management accounts, support budgeting