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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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-led nutrition interventions during the war in Sudan. Responsibilities include developing surveys to assess reliance on community kitchens, analysing pre- and post-war data on food, disease, and coping
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. The post-holder must have a postgraduate degree, ideally a doctoral degree (for Research Fellow) or a doctoral degree (for Assistant Professor) in epidemiology, medical statistics or health data science
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Department of Health Services Research and Policy to support two studies. The post-holder will explore instrumental variable methodologies to establish causal treatment effects from routine data (MRC funded
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, involved in study set up, trial management, and data analysis. The data analysis component will be primarily of genomic data. The purpose of this post is to identify and investigate genotype-phenotype
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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reviewing, and quantitative and qualitative data analysis. The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The post-holder should have an in-depth knowledge
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regression models to complex forms of observational data, and of applying causal inference approaches to health data are essential. Experience of analysing time-to-event outcomes is desirable. This role offers
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational
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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