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core values of impact, safety, integrity, respect and teamwork. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range
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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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, Safeguards and Security policies, work rules, and safe practices Position Requirements Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related field Proven research track record in
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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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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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, and evaluate staff Foster a robust culture of safety and inclusive excellence Collaborate with the Physics Division Director, ATLAS Scientific and Operations Directors, and other group leaders
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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: minimum of 2 years of research experience as a postdoctoral or equivalent appointee Preferred: previous research experience in
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essential Effective written and oral communications skills Ability to model Argonne’s core values of impact, safety, respect, integrity and teamwork Preferred skills and qualifications: Experience with
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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