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with strategic leadership of a multidisciplinary team of scientists and engineers. The GL advances the frontiers of nanoscience by conceiving, conducting, and disseminating high-impact experimental
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, Chemical Engineering, Electrical Engineering, or a related field Proven research track record in computational materials science and AI/ML, with applications in areas such as quantum information science
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The Physical Sciences and Engineering Directorate seeks an outstanding Scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and
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established by Argonne policies and safe practices Position Requirements Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, Electrical Engineering, or a related field Proven track record
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enzyme engineering workflows on their respective leadership computing platforms. Key Responsibilities: Design and implement generative AI models and agentic systems capable of scientific reasoning and