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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms
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. Ability to work with large volumes of hazardous chemicals. Flexibility to change projects and work on a variety of projects simultaneously. Ability to model Argonne’s core values of impact, safety, respect
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The Group Leader (GL) for the Electron and X-ray Microscopy (EXM) Group at the Center for Nanoscale Materials (CNM) develops, leads, and executes world-class R&D programs in electron and X-ray
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). This position focuses on The investigation of coupled land-river-ocean processes in coastal flooding applications by developing a coupled E3SM configuration that incorporates a subgrid-scale version of the MPAS
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as oxide reduction
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for application to molten salt reactors (MSRs) and molten salt fuels, pyrochemical treatment of used nuclear fuel, and innovative applications in advanced energy systems being developed to meet the national energy
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platforms at CNM/Argonne (including in situ/operando workflows and facility-aware constraints) The CNM is a DOE Office of Science user facility that provides researchers from across the globe with world-class
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The High Energy Physics Division at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML) for applications in
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enable physics-informed AI agents that accelerate discovery in catalysis science. The successful candidate will focus on the development and application of machine learning and AI approaches to analyze
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The Fundamental Symmetry Group in the Physics Division at Argonne National Laboratory invites applications for a junior staff position in experimental nuclear/atomic physics. We are especially