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on securing a domestic supply chain for critical materials, such as graphite. This candidate will join a team developing and testing material beneficiation, leaching, and separation unit operations for carbon
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field Match at least one of the following profiles: Experience with modern AI methods for nuclear physics or high-energy physics detector data; or Hands-on work with PMTs, SiPMs, or MCP-PMTs (test-beam
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tests and electrochemical operations with molten salts that may contain actinides and lanthanides within controlled atmosphere gloveboxes. Apply chemical thermodynamic and kinetic theories to understand
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instrumentation. Hands-on experience in performing experiments inside controlled environments (glovebox) is highly welcomed. Experience with fabrication of membrane electrode assemblies (MEAs) and test them in fuel
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design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes of transportation including off-road, rail
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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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expertise combining AI and computational chemistry software in HPC platforms for materials science discovery research. Effective written and oral communication skills. Ability to model Argonne's core values
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accelerated material processing approaches Develop and test new materials and cell configurations. Perform experiments to understand and quantify reaction pathways and kinetics for molten salt systems
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BatPaC model Understanding of resource recovery technologies, supply chain analysis and upstream and downstream processes Knowledge of Aspen Plus or other chemical process simulation software. Ability
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the preparation of proposals and participating in sponsor interactions. Applies the models to selected case studies. Document and publish to our internal software repository. Supports multidisciplinary teams in