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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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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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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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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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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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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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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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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