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The Multiphysics Computation Section within the Transportation and Power Systems Division at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s
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(predoctoral) or PhD (postdoctoral) in Materials Science, Chemistry, Physics, or related area is required. Coursework in computer science or data science is desirable. Familiarity with research data management
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nanofabrication. Experience in microwave and optical device characterization and measurement. Knowledge and good understanding of quantum information science. Experience with superconducting qubit design
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and no-carbon fuels for hard-to-electrify industrial equipment such as burners, furnaces, combined heat and power, etc., applications. The goal is to establish a world-class research program leveraging
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, project presentations, and other regular channels. Position Requirements Skill in modeling, processing, and analyzing computational results to inform accompanying experimental efforts. Skill in the use
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts
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We invite you to apply for a Postdoctoral Appointee position within Argonne’s Chemical Sciences and Engineering Division (CSE). In this role you will: Design, synthesize, and evaluate next
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to develop and lead a world-class research program that strongly aligns with DOE priorities in low energy nuclear physics, as outlined in the 2023 Nuclear Science Advisory Committee Long Range Plan for Nuclear
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In the Nanoscale Magnetic and Electronic Heterostructure Group of the Materials Science Division (MSD) we aim to understand the novel and emergent behavior in nanoscale magnetic and electronic