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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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Investigations, Graph Analytics and Criminal Network Discovery, Suspicious Activity Detection, Digital Content Provenance and Authenticity, etc., which are important components to strengthening trust, security
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in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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methodological innovations that bridge the gap between computational theory and impactful clinical application. We are seeking a highly motivated individual with a strong statistical and machine learning