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to develop innovative technologies to improve the efficiency of resource utilization; to minimize our dependence on imported materials; and to enhance our national security. This position is broadly focused
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, controls, and operations) to ensure requirements are feasible, testable, maintainable, and consistent with APS safety and operational constraints. (Contingent on MIE approval and project schedule) contribute
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the essential functions of this position successful applicants must provide proof of U.S. citizenship and must be able to obtain and maintain a security clearance, which is required to comply with federal
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, safety, respect, integrity and teamwork. Desired skills: Prior research experience in federated learning, distributed learning, or privacy-preserving machine learning. Experience with large-scale model
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energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as
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values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Deep understanding of AI/ML concepts, including transformers, latent-space representations, generative models, and
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of organization. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. This position requires an on-site presence at the Argonne campus in Lemont, Illinois. Preferred
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pressure diamond anvil cell technology. Excellent oral and written communication skills. Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Preferred Knowledge, Skills
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journal articles. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. This position requires an on-site presence at the Argonne campus in Lemont, Illinois, five days
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alignment, safety, and reliability frameworks to ensure LLM outputs are accurate, trustworthy, and robust in scientific contexts. Evaluate and benchmark LLM reasoning, cognitive capabilities, and