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funded by NIHR as part of a Health Protection Unit in Public Health Genomics between the University of Birmingham and UKHSA. In addition to the extensive training offered to all PhD students at UoB
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machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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