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centralized. The successful candidates will work at the intersection of federated learning, foundation models, multimodal biomedical AI, privacy-preserving machine learning, continuous learning, and agentic AI
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Proficiency in low-noise cryogenic measurement techniques spanning millikelvin to few-kelvin temperatures Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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reporting technical results. Strong analytical, problem-solving, written, oral, and interpersonal communication skills. Ability to work effectively in a multidisciplinary team environment and model Argonne’s
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assess vehicle technologies to quantify energy consumption, performance and cost benefits. In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains
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communication Ability to work effectively as part of an interdisciplinary team Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Additional Information While these are not
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player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site presence at the Argonne campus in Lemont
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to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires on-site presence five days a week at the Argonne campus in Lemont, Illinois. Job Family Postdoctoral
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-based and AI/ML approaches. This position focuses on high-resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active