33 bayesian-inference-tracking Postdoctoral positions at University of Oxford in United Kingdom
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and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and
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to infer brain aging and injury mechanisms; and iv) study the potential relationship between exposure to head impacts and the development of neurodegenerative diseases such as Alzheimer's, Parkinson's and
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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manage a research project, including a research budget. A track record of collecting human data, especially eye tracking data would be an advantage. The closing date for applications is 12.00 midday on 23
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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
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characterisation, and thin-film deposition techniques. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential. Applicants should be
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microscopy and associated advanced and automated data processing. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential