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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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Reducing aerodynamic noise of advanced air mobility by prediction based on machine learning 2 Minute read This PhD project will be based at the University of Melbourne with a 12 month stay at
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to employ the density functional theory, machine learning interatomic potential, molecular dynamic simulations, and Monte Carlo simulations for the much-needed knowledge of how some typical solute atoms
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generated by nuclear spins within the sample (usually from water molecules within our body in the medical case). Thousands of these machines, which use very large superconducting magnets, are used every day