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and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their application to IDDO’s model. You
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Project Overview This 5-year BBSRC supported project is a highly multi-disciplinary effort between biology and engineering groups at the University of Oxford to advance cell-based assays
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-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be near completion) in materials or chemistry and experience in battery
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in the Department of Chemistry, University of Oxford, for a period of up to 3 years. The project involves the development of methods to use light to regulate transport of amino acids and to engineer
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processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and have an interest in the use of AI in healthcare. Proven competence in programming
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About the role We are seeking a full-time Postdoctoral Research Assistant or Research Assistant with relevant experience to join the Control group at the Department of Engineering Science in central
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About the role We are seeking a full-time Post Doctoral Research Assistant to join the Oxford Particles Research Group at the Department of Engineering Science (based at the Osney Thermofluids
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with high-pressure reactors and you must be able to demonstrate competence in the use of anaerobic techniques to make catalysts. You must also be able to demonstrate catalyst characterization and
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Demographic and Health Surveys, the Generations and Gender Survey, the International Public Use Microdata Series, and the Human Fertility Database, among others, and linking these data with other databases
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to support the setting up of a new experimental system at the University of Oxford, to run and analyse the laboratory experiments, and to use them to advance one-dimensional (1D) models of volcanic plumes