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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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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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operate. Our approach We combine biochemical reconstitution, live-cell imaging, multi-scale structural biology, and omics technologies to uncover how the nuclear envelope functions as an intelligent
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research objectives include analyzing how these actors understand and navigate the ‘innovation challenges’ pertaining to antimicrobials and AMR; how the rapidly evolving life sciences knowledge of microbes