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application of Hamiltonian methods to gauge theories, though you will also be encouraged to develop and pursue your own research directions. Applicants should have a PhD in physics and a track record of
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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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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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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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quantum field theories, and the application of Hamiltonian methods to gauge theories, though you will also be encouraged to develop and pursue your own research directions. Applicants should have a PhD in
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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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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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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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Salary: Research Associate salary range: £48,056 - £56,345 per annum* Research Assistant salary range: £43,003 - £46,297 per annum Location: South Kensington Campus About the role: The Adaptive and