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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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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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, 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
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for projects related to the integration of microgrids, distributed energy resources (DERs), and advanced transmission & distribution (T&D) coordination. This role is ideal for a researcher passionate about
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of teaching or user facility support duties. The group’s research program is supported by funding from the US DOE Office of Nuclear Physics, and additional resources are available to develop new research
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and