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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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Optimisation Group (PCOG) at SnT, headed by Prof. Grégoire Danoy. PCOG conducts research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state
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partner (HB11 Energy) and existing experimental and theoretical research collaboration. Reporting to Prof. Alexander Fuerbach, you will: Conduct complex numerical simulations and theoretical studies
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
) and existing experimental and theoretical research collaboration. Reporting to Prof. Alexander Fuerbach, you will: Conduct complex numerical simulations and theoretical studies of dense laser plasmas