375 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Oxford in United Kingdom
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events, familiarity with digital tools for managing datasets, workflows and reporting processes and the ability to support survey design and compliant data collection. The position is full time (part time
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areas of: microorganisms, insects, animals, plants, soils, or a combination thereof. Excellent interpersonal skills, the ability to work effectively in a team and to handle sensitive information
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advice throughout the student lifecycle. You will support course administration, including maintaining programme information, coordinating timetables and student communications, and assisting with student
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delivering multiple trials concurrently across different clinical phases, with full operational oversight encompassing regulatory submissions, governance, data storage and archiving, participant recruitment
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will also be part of the Data Analytics and Epidemiology (DAE) group (PSI) with opportunities for collaboration and career development. The position is suitable for a highly motivated computational
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well as the ability to handle confidential matters with discretion and tact. Further information on this role can be found in the job description. At Saïd Business School we believe in fostering a diverse and inclusive
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during field trials; working with on-site teams to oversee robotic platforms from both a technical and health and safety standpoint. For more information about the ORI, please see: ori.ox.ac.uk Informal
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for institutional research strategy and policy, including research strategy development and coordination, research evaluation and insight, research information, support for the University’s main
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controlled trials and large-scale data collections – on the direct and general equilibrium impacts of cash transfers and social protection policies, including in the context of refugees – in the field or in
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microbiologists, immunologists, and computational scientists, you will generate high-quality microbiological data suitable for integration with immunological and clinical datasets and downstream AI-based analyses