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critical material technologies and meeting society’s growing needs for water and energy resources. The Applied Materials Division focuses on bridging the gap between research and real-world applications. By
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critical material technologies and meeting society’s growing needs for water and energy resources. The Applied Materials Division focuses on bridging the gap between research and real-world applications. By
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candidate will conduct research related to a wide range of topic areas including the analysis of energy and power systems, optimization of veriable energy resources, electricity market design and operation
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the computational science community. We empower researchers to tackle some of the most complex global challenges through our unique blend of supercomputing resources and computational science expertise. The ALCF is
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2
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valuable resources. To do so, we identify new mechanisms to drive selective electrocatalysis in complex aqueous mixtures. Experimental work involves precision atomic layer deposition synthesis and
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manufacturing systems. The successful candidate will join the Energy Resources and Demand Department within the Energy Systems and Infrastructure Assessment (ESIA) Division at Argonne National Laboratory
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for someone passionate about advancing the integration of inverter-based resources into the power grid. The selected candidate will be involved in developing power electronics and hardware in the loop
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-of-the-art imaging facilities at the APS and top-20 supercomputing resources at Argonne National Laboratory. Position Requirements This level of knowledge is typically achieved through a formal education in a
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, computational physics and x-ray science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of the world’s largest supercomputers (Polaris