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motivated and methodologically-focussed researcher with excellent statistical and computational skills to contribute cutting-edge methods development in a clinically relevant research area with strong
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are looking for a dynamic individual with a robust background in statistics evidenced by a strong publication record and a proven track record of analysing data both cross-sectionally and longitudinally
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& Statistics. The successful candidate will contribute/make a leading contribution to the EPSRC funded project Integrable models and deformations of vertex algebras via symmetric functions working with
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, data reporting, and communicating statistics and trends to a lay audience. The person will be responsible for supporting the statistical analysis of project work, basic research of trends in
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Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three broad aims
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The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles
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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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serve both as high-dimensional generalisations for well-known phenomena in random graphs and stochastic geometry, and as means to develop insight into statistical and computational challenges in
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departmental service usage statistics. The Communications Officer will also proactively support the delivery of department and University wide events and actively engage with stakeholders across the institution
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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