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biological data on learning in the cortex. In particular, the research will focus on evaluating and extending a theory proposed by Urbanczik & Senn (2014, Neuron) suggesting that plasticity is driven by
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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About the role Dr Zhenyu Cai’s research group in the Department of Engineering Science seeks a highly motivated and exceptionally talented quantum theorist to lead projects aimed at developing a
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your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. Our talented scholars and researchers from around
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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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candidate in the intersection of numerical analysis, approximation theory, and machine learning. The goal of this research project is to investigate how far standard proofs in numerical analysis and
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the Leverhulme Trust and the Wellcome Trust. The successful applicants will join the established and growing effort in biological physics within DAMTP. For further details about the group, please consult
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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-related theory and practice continued education or training to keep your knowledge and skills up to date as needed. Applicants should possess a commitment to inclusivity, demonstrating a respect for diverse