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kernel design, communication–computation trade-offs, or performance modeling on heterogeneous systems. Theory of parallel algorithms — communication lower bounds or work–depth analysis of sparse and graph
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Qualifications: Significant experience developing, training, fine-tuning, or applying MLIPs, including graph neural network-based models, equivariant models, or pretrained universal potentials. Experience with
Searches related to graph theory
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