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An exciting opportunity has arisen for a Medical Statistician to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team and the Centre for Statistics in Medicine (CSM). The post is
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. MSc/PhD) in data science, statistics, epidemiology, or a related subject, have significant experience in analysis of large complex epidemiological datasets, using Stata, R or SAS, and have excellent
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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq
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methods; probabilistic/statistical verification and synthesis; planning and game theory, as well as have proven experience of software development in relevant areas, such as SAT/SMT, statistical inference
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Applications are invited for a Medical Statistician to join our growing Trial Statistics team in the Primary Care Clinical Trials Unit. The successful applicant will be expected to work closely and
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the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing
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Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject, have experience in the analysis of single-cell RNA-seq data (e.g. generated using 10X Genomics
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with associated analytical and statistical skills. You will be able to develop of new analytical methods and to demonstrate their utility in biomedical research. A track record of producing high-quality
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adversarial and/or distributional robustness; probabilistic/statistical verification and certification; (multi-agent) reinforcement learning and stochastic control; Bayesian methods and probabilistic circuits
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with IDDO statisticians and clinicians to certify the data is in the format required for statistical analyses. It is essential that you hold an undergraduate qualification in a scientific or heath