26 parallel-computing-numerical-methods-"Multiple" Fellowship positions at University of Oxford
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are seeking a researcher to lead a programme of work to develop a new strengths and abilities assessment toolkit to enhance strengths-based education for neurodivergent primary school-aged children. This will
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research excellence. Methodological capability (qualitative, quantitative, mixed methods, computational, or design science) suitable for high-quality research and publications Experience of collaborative and
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
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observational information is included via guidance towards samples consistent with it. However these methods suffer from a variety of problems, including high computational cost, difficulty tuning hyperparameters
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all procedures with clinical trial volunteers and you will provide broad clinical support to the HCV CHIM program (working with the project team, including a project manager). Giving clinical input
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance