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folding, gene regulation, drug–target interactions, and multi-scale biomedical modeling. 3. Deep Learning on Graphs with Higher-Order Structures This project develops neural architectures capable
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, or related fields • Proven track record in rare disease research, especially involving multi-omic data integration • Strong experience with network-based models, especially multiplex
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