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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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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems