522 computional-geometry-algorithm positions at University of Oxford in United Kingdom
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We are seeking an ambitious and highly motivated Research Assistant to work in a programme of research that aims to investigate extracellular vesicle biogenesis and biomarkers in Parkinson’s disease
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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assist with the department’s programme of academic summer visitors. Supported by experienced museum staff and working in a talented team, you will acquire the key skills of modern curatorship. This is a
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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for collaborating sites and prepare trial specific instructions. You will also oversee data entry on the computer database (assisted by a Data Entry Clerk) and perform regular systematic checks of information held
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or experimental methods, applied statistics, or computational social science. The position is open to candidates from relevant social science disciplines including political science, sociology, economics and public
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We are seeking to appoint an Administrative Assistant to join the team for the Paediatric Inflammatory Bowel Disease (PIBD) BioResource study, part of NIHR BioResource (http://bioresource.nihr.ac.uk). As a BioResource Administrative Assistant, you will have general responsibility for the...
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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance