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on identifying and discovering patient sub-cohorts within an electronic health record database. This discovery process will take place via the design of deep clustering algorithms based on state-of-the-art
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capable of supporting and collaborating with humans in complex, real-world settings. You will be responsible for researching and developing novel algorithms and techniques to achieve the project’s
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solvers • Implementing and analysing online optimisation algorithms for real-time grid balancing • Liaising with project partners (NESO and University of Strathclyde) Essential selection
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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protein purification and characterisation. Skills in molecular biology and genetics, and experience with DNA-binding proteins are beneficial. They will use structural and biochemical approaches to determine
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close to completion of, a relevant PhD/DPhil in one of the following subjects: quantitative, genetic or molecular epidemiology, medical statistics or statistical genetics. You must have strong quantitative
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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molecular, genetic, cellular and biochemical techniques to study the functions of specific proteins. You should be able to work independently and will primarily be involved in analysing the behaviour and
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group at the Centre of Human Genetics, within the University of Oxford. The Tzima/Reader research group is at the cutting edge of developments in production of samples for structural biology using
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Genetics, within the University of Oxford. The Tzima/Reader research group investigates the role of mechanotransduction in cardiovascular disease within a laboratory that is at the cutting edge