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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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and teaching. We are seeking to recruit a statistical researcher to provide statistical and epidemiological leadership for the team studying the Benefits and Risks of Cancer Treatments. The post-holder
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the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
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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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a hip or knee replacement. The project team, led by Alex Bottle, professor of medical statistics, is multidisciplinary, including surgeons, allied health professionals, and social scientists. You will
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. The Prob_AI hub will focus on probabilistic AI, and bring researchers with skills across areas such as Bayesian and Computational Statistics, Dynamical Systems, Numerical Analysis, PDES, Probability, Stochastic
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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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affect these trajectories using discontinuous growth modelling and/or other appropriate statistical analyses. Additionally, the student will conduct a qualitative interview study to understand
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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High