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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete
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variables and characteristics are sensitive to soccer match officials’ decision-making. Develop statistical models to explain and predict decision-making in soccer matches. SPECIFIC REQUIREMENTS
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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economic burden of community acquired pneumonia within the UK. The student will analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify
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Applications are invited for one PhD position in “Modelling and Inference for Mosquito-Borne Disease Elimination” at the Department of Statistics, University of Warwick. The successful applicant
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of handling laboratory animals is required as this will be optional. Good IT skills with Word, PowerPoint and Excel are essential and some knowledge of statistics is desirable. How to apply Interested
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(CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require identifying relevant treatments and their associated Health Resource
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to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations
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, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using