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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
interested in the application and methodological development of machine learning techniques to combine electronic structure and modern sampling techniques in liquid-phase heterogeneous catalysis. Experience in
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of interest in the group, which include: Topological materials Superconductivity Strongly correlated materials Exciton-phonon coupling Machine learning Further details about our areas of interest can be found
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