7 bayesian-inference-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at University of London in United Kingdom
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
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protoplanetary disc properties as inferred by multi-wavelength observations to larger scale environmental conditions in the surrounding interstellar medium. As such, the successful candidate will work on both new
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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regression models to complex forms of observational data, and of applying causal inference approaches to health data are essential. Experience of analysing time-to-event outcomes is desirable. This role offers