75 structural-engineering-"https:"-"https:"-"https:"-"IMT-NORD-EUROPE" Postdoctoral positions at Argonne
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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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The Vehicle Technology Assessment (VTA) Group within the Vehicle and Mobility Systems at Argonne National Laboratory is seeking to hire a postdoctoral appointee to assess vehicle technologies
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presentations. Position Requirements Ph.D. completed in the past 5 years or soon to be completed in Molecular Biology, Biochemistry, Structural Biology, Biotechnology, Protein Engineering, Microbiology, or a
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PhD (within the last 0-5 years) in field of physics, chemistry, materials science, electrical engineering, or a related field Demonstrated expertise in electronic structure theory Experience with large
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. Position Requirements Ph.D. completed in the past five years or soon-to-be completed in Chemical Engineering, Materials Science, Chemistry, Nuclear Engineering, or related field. Skill in devising and
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morphology, product quality, and process efficiency at engineering scales. With guidance, the appointee will : Perform experiments with multimodal sensors to advance the technical understanding and application
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Argonne National Laboratory’s Accelerator Science Division is seeking a Postdoctoral Appointee to contribute to the development of a Sub- THz Collinear Structural Wakefield Accelerator
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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
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phonons, magnons, and other emergent quasiparticles. The successful candidate will lead time-resolved X-ray diffraction experiments to reveal structural and electronic dynamics in condensed matter systems
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental