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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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internationally. We have methodological expertise in clinical trial design and implementation, clinical decision making and diagnostics, epidemiology, medical statistics, behavioural science, modelling, qualitative
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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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the ability to conduct and complete research projects, as witnessed by published work in machine learning on the specific topics, and strong mathematical skills in probability and statistics. Good knowledge
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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
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statistics, together with possessing excellent organisational/administrative/project management skills. Good knowledge of current state-of-the-art in safe AI and frontier AI systems as well as experience
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We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar