327 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" 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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of the trial, including monitoring trial progress and the development and maintenance of SOPs, as well as, contributing to data analysis and paper preparation. You will hold a good first degree, or equivalent
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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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) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 10th April 2026 can be considered. You will be required
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, including a research budget, and act as a source of information and advice to other members of the group on scientific protocols and experimental techniques are highly desirable traits. Informal enquiries may
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computational ecosystem, including shared codebases, data pipelines, computing resources, and public-facing research outputs (e.g. websites and repositories). They will collaborate across work packages and 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
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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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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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holder will be to design, develop, update, and maintain study related web applications including assisting with the use and management of large and complex data. To be considered for the role, you will