552 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford in United Kingdom
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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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biologists on analysing microscopy data of developing embryos. This post is available immediately and is fixed term for 3 years. Key responsibilities: Develop research questions within a specific context
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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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-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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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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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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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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reliable, timely management of study data, including collection, processing, validation, and quality assurance. The CSOR programme focuses on improving outcomes for children undergoing complex surgeries in