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, Algebraic Geometry, Combinatorics, Data Science, Number Theory, Probability, and Quantum Computing. Fellows have previously been appointed with backgrounds in most areas of Pure Mathematics and Statistics
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journals and conferences. PhD (or equivalent) in Human-Computer Interaction, Computer Science, or a related field. Strong understanding of ultrasound mid-air haptics. Experience developing and applying mid
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networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is essential, as is experience with Bayesian
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2026 until the end of September 2029, on a fixed term basis within the Faculty of Environment, Science and Economy. This role offers the opportunity for hybrid working – some time on campus and some from
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propose their own bespoke programme to conduct innovative research at the frontiers of Science and Engineering. Project proposals are invited across the full range of topics in the EPSRC research portfolio