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. The goal is to build foundation models capable of learning from richly structured or semi-structured data where traditional graph neural networks may fall short, enabling better representation, inference
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, and contact information for two referees to: alwin.koehler@maxperutzlabs.ac.at Review of applications will begin immediately and continue until the positions are filled. Early applications
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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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