159 verification-computer-science-"Multiple" Postdoctoral positions at University of Oxford
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in cilia. Transport within cilia, the cell’s signalling and sensory antennae, is central to human biology. It enables these cell-surface organelles to assemble and dynamically change their proteome in
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About the role Applications are invited for a Postdoctoral Research Associate in Medicinal Chemistry to work under the supervision of Professor Angela Russell for a period of up to 2 years
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The Oxford-GSK Institute of Molecular & Computational Medicine has a new and exciting opportunity for a Postdoctoral Researcher, specialising in Neuronal Dysfunction in Alzheimer’s Disease, to join
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Reporting to the Project Co-Lead, Professor Beth Greenhough, the post holder will be responsible for carrying out research contributing the social science dimensions of the three-year MRC funded
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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We are seeking a Postdoctoral Research Associate to join the Department of Biology on a collaborative project between the Fitz-James and McLean labs investigating the molecular mechanisms of insect
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Biochemistry, Cell Biology or a related field and be proficient in standard cell and molecular biology techniques as well as experience in proteomics. Experience with mass spectrometry and computational
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180266 – Postdoctoral Research Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7: Salary in the range of £38,674-£39,749 per annum This is a
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multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available from 1st October 2025 (or earlier). Applications
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning