547 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" positions at University of Oxford
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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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-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term
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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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major external funder, including coordination of supporting documentation, budgeting information, and regulatory materials. The post holder will not have line management responsibilities but will work
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uncertainty. This post is fixed-term and part time (20hours per week) until 30 September 2026 You will hold a relevant Bachelors or Master’s degree in statistics, computer science, information engineering, or
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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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, Reliability and Teamwork Research Unit. Specifically, they will be working to supervise data collection, cleaning and analysis and helping in the writing up and publication of the results. This will involve
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to determine whether the Hubble tension arises from observational issues or from limitations in the current cosmological model by combining lensing information and dynamics of the lens to measure H0
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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