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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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are produced -- making the process cleaner, smarter, and more efficient. This is an opportunity to help reshape how critical materials are produced -- moving toward smarter, data-driven processes
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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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design and implement mitigation strategies. Validate, analyze, and interpret experimental data. Firmware development & programming tools to interface with FPGA-based electronics. Quantum verification and