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for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency
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inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable
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pressure, temperature and composition. With constraints on the partitioning of trace elements among coexisting phases, one can model their distribution during magmatic processes, and crucially the locations
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coexisting phases, one can model their distribution during magmatic processes, and crucially the locations within pegmatite mineral systems that are predisposed to form lithium mineralisation. We currently