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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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, randomized algorithms and quantum algorithms. Additionally, the role involves applying these algorithms to modeling and simulation of physical systems, incorporating uncertainty quantification and AI/ML
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python. Experience with machine-learning, such as training large language models. Required Application Materials: CV Cover Letter (1 page) Publication List Additional information: Application date
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types (inorganic solids, polymers, glasses, etc). Desired skills/knowledge: MongoDB databases. Prior development of Model Context Protocol (MCP) frameworks. For consideration, please apply with
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Demonstrated software development experience on Linux / Unix platforms involving: code contributions in Python and/or JavaScript design of systems, interfaces, and data models scalable distributed systems and or