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) “Federated graph management and querying: subgraphs, keywords, and privacy” and (3) “Small leaks sink great ships: data recovery attacks and defense in local differential privacy” Qualifications For the post
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , condensed matter theory; ultracold quantum gases , Strongly Correlated