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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 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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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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Applications are invited for a Quantitative Research Assistant to work within the Medical Statistics team under Rafael Perera and Patrick Fahr on a climate change and health research programme. The
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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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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searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
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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
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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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