355 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs at University of Oxford
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. This scholarship is not open to applications from candidates who hold deferred offers for 2026-27. For more information please see the Academic Futures webpage. Selection is expected to take place in June 2026.
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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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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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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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information about the role, please contact Dr Sarah Ball, Head of Strategic Research Development (Sarah.Ball@rdm.ox.ac.uk). Applications for this vacancy are to be made online; you will be required to upload a
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information and processes. You will have excellent organisational, administrative and project management skills, with the ability to manage a complex workload independently. You will be a strong problem-solver
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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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excellence and operational effectiveness across the department. This includes driving efficient end-to-end recruitment and onboarding, safeguarding compliance and data integrity, and providing managers with
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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