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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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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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leading centres for research into chronic diseases, such as cancer and heart disease. We are looking for a talented statistical epidemiologist to contribute to components of the CoMPuTE project (https
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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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We have an exciting opportunity to recruit an IHTM Senior Teaching and Research Associate in Statistics and Epidemiology to join our dynamic course team on the renowned MSc in International Health
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engineering, computer science, statistics or a commensurate discipline with specialisation in machine learning. Acquire sufficient specialist knowledge in machine learning to work within established research
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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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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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researchers currently using the resource. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), in epidemiology, statistics or a related subject. Proficiency in
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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