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, and multimodal information. This position offers the opportunity to work with some of the world’s most advanced computing resources, including Exascale supercomputers, and to collaborate with leading
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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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(H2, NH3). The successful candidate will leverage high-performance computing (HPC) resources at the Laboratory to perform CFD simulations of low-carbon fuel injection, mixing, combustion, and emissions
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researcher will conduct advanced research to develop sustainable, innovative bioprocesses and separation technologies to improve the efficiency of resource and energy utilization; to minimize our dependence
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The Applied Materials Division (AMD) at Argonne National Laboratory conducts applied research to develop sustainable innovative technologies to improve the efficiency of resource and energy
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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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innovative research directions to address them. Foster collaboration and knowledge exchange across different divisions within Argonne National Laboratory to leverage expertise and resources. Cultivate
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their environmental impacts including energy use, water use, emissions, and resource depletion. Coursework and some project experience in application of mathematical optimization, statistics, or machine
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device operation. The project involves large-scale simulations on exascale computing resources to probe switching behavior while accounting for effects of defects, competing metastable phases, doping
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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