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-tuning and/or Retrieval-Augmented Generation (RAG) methods to augment LLMs with dedicated knowledge in transportation and electric grid domains. This involves designing methods to process input data and
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validation. Mentorship of and collaboration with student researchers We are looking for: Ph.D. degree in Physics, Applied Physics, Electrical Engineering, or a related field. Experience independently planning
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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