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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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, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
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-house codes and making use of high-performance computing (HPC) tools. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical, aerospace
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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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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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of urbanization on precipitation, and aerosol-cloud interactions Strong modeling skills and high-performance computing experience Experience with model code development, and strong programming skills (e.g., Fortran
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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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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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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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water electrolyzers, utilizing high-throughput synthesis and characterization techniques. As a Postdoctoral Appointee, you will play a pivotal role in this exciting endeavor. Your responsibilities will