339 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at University of Oxford
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on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in your ability to communicate with students, contractors and University staff
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international programmes (Africa and Asia Programmes – AAPs). By consolidating professional HR staff into specialised centres, we ensure close collaboration with managers to advance our strategic goals
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, inequality, gender, ethnicity, migration, politics, social movements, health, crime, social networks, the application of computational methods. We welcome candidates with interests in different regions
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to strengthen the uptake, scale-up, and sustainability of evidence-based parenting programmes globally. About you You will have knowledge of parenting policy context and established relationships with relevant
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are essential, along with strong computer literacy and familiarity with standard software packages. A working knowledge of statistics and experimental design, and experience using statistical software such as
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. The group uses multidisciplinary approaches including in vivo models, patient-derived cell lines, drug and CRISPR screening, molecular and cellular biology, genomics and computational biology to investigate