202 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of Oxford in United Kingdom
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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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invertebrate data to extant species. Results from model efforts will be used in formal Red List Assessments, in collaboration with the Marine Invertebrate Red List Authority at the Naturmuseum Senckenberg
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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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-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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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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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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wet and dry lab genome-wide Omics approaches and have excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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to bring projects to completion. Excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research group at meetings
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well as further information about the university and how to apply. This post is full time and fixed term for 30 months. Only applications received before midday 12:00 on Tuesday 21st April 2026 will be considered