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experimental data are analyzed as they are generated and Bayesian optimization, active learning and AI agents propose the next most informative experiments. The scientific objective is to design and
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gradient systems, the project aims to contribute towards the treatment of high-dimensional optimisation problems, such as the electronic structure problem. We are looking for a highly enthusiastic and
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of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising flows
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