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multi-project collaborative research programme focused on how to improve quality and safety in healthcare. At assistant research professor level, the postholder will lead programmes of research, manage
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strong analytical skills and desirably some computer modelling experience, and an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of
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to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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disorders. Our research group is embedded within the Department of Clinical Neurosciences and the MRC Mitochondrial Biology Unit, University of Cambridge. Our research programme aims to better understand