573 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Oxford in United Kingdom
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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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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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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
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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
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Information More information on the role and the full selection criteria can be found in the Job Description. Applications for this vacancy are to be made online. You will be required to upload a CV and
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible