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statistical expertise and collaborative support for clinical trials and research conducted within the School of Life Course and Population Sciences. They will be responsible for supporting research
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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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, or Master’s degree in Public Health, statistics or a health-related subject. Have or be about to obtain a relevant PhD in epidemiology, public health, statistics or related discipline Specific, recent research
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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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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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: 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