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Posting Summary Logo Posting Number RTF00150PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Posting Summary Logo Posting Number RTF00139PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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, immunoblotting, RNA extractions, RT-qPCR . The candidate is expected to be familiar with standard software (MS Office Suite, Adobe Suite, Statistical and Graph Software packages i.e. Graphpad Prism) Ability
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advanced post-training techniques to ensure foundation health models reason accurately over medical knowledge graphs and clinical instructions while verifying factuality and safety boundaries. Agentic
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science. It offers a novel perspective on understanding and managing uncertainty in large-scale infrastructure systems. For more details, see https://research.chalmers.se/en/project/12873 Who we are looking
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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computationally efficient reduced-order dynamical systems on graph with modern power grid systems as an application. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required