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We invite applications for a Postdoctoral Research Associate in Statistics The post holder will report to Prof. Gesine Reinert who is a Principal Investigator on the project. The post holder is a
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage
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for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking for a postdoctoral researcher to develop statistical and
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close to completion of, a relevant PhD/DPhil in one of the following subjects: quantitative, genetic or molecular epidemiology, medical statistics or statistical genetics. You must have strong quantitative
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following areas: Doi-Peliti field theory, statistical field theories, or Renormalisation Group techniques. The Research Associate will engage in both independent and collaborative research, contributing
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as
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We are looking to fill a post for Postdoctoral Research Associate in ancestral recombination graph (ARG) inference and analysis. The aim is to advance state-of-the-art genealogy-based statistical
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from vaccination, natural infection, and controlled human infection studies. The Postdoctoral Research Scientist in Computational Biology will apply established and emerging bioinformatics, statistical
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concentration, statistics and economic history. Reporting to Prof. Facundo Alvaredo, you will have a specific focus on estimating, analysing, and interpreting historical series of top income shares, top wealth
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning