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Mathjobs.org | 26 days ago
optimization, graph theory, game theory, algorithmics and geometry. Beyond Discrete Mathematics, the Department of Mathematics and Mathematical Statistics carries out research in computational
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optimization, graph theory, game theory, algorithmics and geometry. Beyond Discrete Mathematics, the Department of Mathematics and Mathematical Statistics carries out research in computational
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal
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mapping, graph theory, hierarchical clustering, etc.) to clinical brain imaging data. This position provides an excellent opportunity to contribute to research that bridges systems neuroscience, pain
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experience with density functional theory or closely related first-principles atomistic simulation methods. Demonstrated research experience applying artificial intelligence or machine learning to
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areas include: Parallel and distributed graph and or ML algorithms — shortest paths, connectivity, clustering, or graph traversal on GPU clusters and distributed-memory systems. Sparse direct and
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?AWD_ID=2602821) investigating coordination in squid swimming. The successful candidate will lead quantitative analysis of animal configuration and related flow field topology utilizing graph theory to
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closely related field. All degree requirements, including the dissertation, must be completed by the date of appointment. Demonstrated research experience with density functional theory or closely
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statistical/mathematical foundations relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills