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for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to enhance engineering
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precision opto-mechanical hardware, and compliance with APS safety and training requirements. Position Requirements Ph.D. completed within the last 0–5 years in Materials Science & Engineering, Physics
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-based experiments, including accelerating gradient tests and breakdown studies of accelerating components. Collaborate with the APS/ASD mechanical engineering group on the fabrication of accelerator
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approaches. Position Requirements Recent or soon-to-be-completed (typically completed within the last 0-5 years) Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a
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Recent (within the last five years) or soon-to-be completed Ph.D. in Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry, or related field with zero to three years of experience
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, mechanical engineering, artificial intelligence, or related engineering disciplines Experience with state of the art AI methods for robotics Experience with robotics research strongly preferred Experience in
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Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related
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, asphaltenes, resins, and kerogen molecules and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will
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primary goal of this work is aimed at advancing next-generation, lithium-ion technology through a detailed understanding and mitigation of surface degradation mechanisms that limit state-of-the-art lithium
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, and related techniques Conduct electrochemical testing and benchmarking; analyze and interpret complex datasets to elucidate mechanisms and structure–property relationships Document results and lead