85 application-forms-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Argonne
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, and flow cells with applications including long duration energy storage and electrified aviation. Each project will involve close collaboration with domain experts to leverage emerging computing
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to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to
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that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants
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Experience Background in economic theories and their application to energy, mining, and manufacturing sectors. Proficiency in economic analysis techniques such as econometrics and cost modeling. Demonstrated
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for application to molten salt reactors, pyrochemical treatment of used nuclear fuel, and innovative applications in advanced nuclear systems being developed to meet the national energy needs. As a part of this
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towards applications including electrometallurgy, advanced nuclear systems, and chemical production. Under the guidance of a supervisor, the postdoctoral appointee will develop fundamental understanding
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. The candidate should have a good understanding of battery recycling technologies, sources and production technologies of battery materials, and/or 2nd life applications of batteries and conversion of waste
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We invite applications for a postdoctoral position in working at Advanced Protein Characterization Facility (APCF) in the X-ray Science Division at Argonne National Laboratory. The selected
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, materials science, or a related discipline Background and/or interest in one or more of the following areas: critical elements and materials, electrical double layer theory and applications, solid–liquid
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Directorate (PSE) at Argonne National Laboratory is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Science Discovery, with a focus on critical