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Statistics. The postholder will join the research team led by Dr John Busby and Prof Liam Heaney working on several projects related to chronic inflammatory disease, with an initial focus on chronic
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This fixed term full-time post creates an opportunity to further your career in modern “omics”, big data analysis and hypertension! We are looking for a PhD/higher degree holder in statistics
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at The University of Manchester. You will hold an MSc and/or PhD (or equivalent) in epidemiology, medical statistics / biostatistics, health data science, health services research, or some other quantitative academic
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference
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professional knowledge and successful track record in securing research funding. As a member of the LRWE, you will undertake statistical analysis of cardiometabolic real-world data from classical observational
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Exeter Clinical Trials Unit (ExeCTU); Faculty of Health and Life Sciences Summary of Post Exeter Clinical Trials Unit (ExeCTU) is seeking an ambitious individual to join our growing statistical
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: Have extensive experience with qualitative research including study design, data collection, and data analysis. Have high analytical experience to analyse and interpret statistical data whilst using
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data analysis, statistical methodologies and machine learning for investigating complex diseases and should be driven by the translation of these data to addressing current biomedical challenges. Main
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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systems scientists, PhD students and support staff, and will be expected to contribute to various large-scale projects. Duties and responsibilities With a PhD in epidemiology, statistics, data science, or a