24 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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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
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and delivery of an exciting experimental medicine research programme performing GI human immune challenges, specifically performing gluten challenge studies in coeliac disease. This is a great
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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