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for observational research. The successful candidate will be part of Discipline 1 (Surveillance, Epidemiology, Electronic Health Records Research, Big Data). The post-holder will have a postgraduate degree, ideally a
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essential. This is a great opportunity for those seeking to explore large data to answer important policy questions as well to gain skills in mathematical modelling. Further particulars are included in
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and contribute to methodological and applied projects in risk prediction using electronic health records data. There is increasing interest in blending concepts of causality into risk prediction models
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NIHR co-funded project to determine appropriate methods of analysis for cluster randomised trials with rare outcomes. The project is motivated by a large cluster randomised trial conducted in Niger
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decision-making, and patient outcomes. The post-holder will work with multidisciplinary teams at LSHTM, HKU, and partner institutions to drive the construction and training processes of Large Language Models