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The Argonne National Laboratory (ANL) High Energy Physics Division invites applications for a Postdoctoral Research Associate to work in the Energy Frontier (EF) group on ATLAS Software R&D and HEP
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We are seeking a highly motivated Postdoctoral Appointee with a strong background AI/ML specifically in the development and application of Large Language Models (LLMs) tailored for scientific use
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understanding of lithium-ion battery systems and performance characteristics, and/or recycling operations for plastics and metals. The work will involve R&D on a broad range of separation technologies as
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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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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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We invite applications for a postdoctoral position in the Separations and Bioprocessing Group in the Applied Materials Division at Argonne National Laboratory. In this role, the postdoctoral
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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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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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(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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fluxes in terrestrial wetlands. In this role you can expect to: Conduct studies to measure and partition wetland fluxes of greenhouse gases (GHG) at a site located in the Prairie Pothole region