9 programming-"the"-"DAAD"-"U"-"Prof"-"UCL"-"Brookhaven-Lab"-"EURAXESS" "U.S" Postdoctoral positions at Argonne
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familiarity in machine learning (ML) and artificial intelligence (AI). This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials
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at Argonne National Laboratory is a U.S. Department of Energy Office of Science User Facility providing ultra-bright, high-energy X-ray beams to a global community of researchers. APS enables discoveries
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The Energy Systems and Infrastructure Assessment (ESIA) division provides the rationale for decision makers to improve energy efficiency. We develop and use analytic tools to help the U.S. achieve
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the U.S. achieve energy goals. ESIA develops, deploy, and advances grid technologies that ensures a robust and secure U.S. grid transmission and distribution system. ESIA also collaborates with government
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Argonne National Laboratory, a U.S. Department of Energy multidisciplinary science and engineering research center, is committed to finding solutions for national priorities, including advancing
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algorithms and software for large-scale scientific applications. Expertise in programming in a high-level language such as R or Python. Experience and skills in interdisciplinary research involving
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analysts, and planners who work with the U.S. Department of Energy and other sponsors to assess programs and develop tools for the public to use in calculating potential environmental and economic impacts
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials and technologies. The successful candidate will conduct comprehensive supply chain mapping