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Field
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, and employability of our students. It has an active programme of internationally recognized research in Pure Mathematics, Applied Mathematics, Statistics and Probability. The research culture is vibrant
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commensurate with their career stage. Experience in exoplanet (including host star) research and in data and statistical analyses (all broadly defined), is desirable but not essential, and applicants with a wide
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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diverse international settings. Proficiency in analytical and statistical software. Excellent networking and partnership-building skills. Desirable criteria Experience working in African, Latin American
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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research designs, statistical analysis and analysis of wearable technology or associated data (e.g., GPS, IMU, force plate, video-derived data). Applied knowledge and understanding of the training process of
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expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination
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Location: Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB We invite applications for a Postdoctoral Research Assistant (PDRA) to join a research project funded by
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new collaborations within the centre. You must hold a PhD (or near completion) in statistical genetics, functional genomics, computational biology, or a related field together with proficiency in
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will employ diverse methodologies, including online and in-person experiments, cross-cultural studies, and will require advanced statistical analyses. This is an excellent opportunity for a researcher