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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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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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researcher (Grade 7), trained in statistics, epidemiology, economics or equivalent, with experience of longitudinal methods. Experience with one or more of the administrative databases within the ECHILD
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novel place-based, policy-relevant epidemiological, interventional research and longer-term modelling. We seek highly motivated individuals with a PhD or equivalent in data science, applied statistics
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statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent’s level. The project will
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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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: 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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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