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, you will: Apply engineering principles to develop molten salt synthesis and separations processes to support fuel cycle science and technology. Develop and test new electrodes for use in molten salt
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collaborating with a software engineering team to translate research into production-ready tools. The successful candidate will be part of an inter-lab, highly inter-disciplinary team of experts in ML, applied
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, designing and executing ML experiments on leadership-class computing facilities such as the Aurora and Polaris supercomputers. Argonne is a multidisciplinary national laboratory and offers an exciting campus
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monitoring and control technologies applicable to molten salt and liquid metal systems Develop and test new materials and cell configurations for the production of salt and metal products. Perform experiments
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. Familiarity with total scattering/PDF techniques and related software. Hands-on experience with lasers, timing/synchronization, or detector systems. Scientific programming skills (e.g., Python) for data
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mentorship, on supported inorganic and organometallic catalysts for small molecule activation as part of the EFRC Catalyst Design for Decarbonization Center (CD4DC) initiative. Key Responsibilities Design
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frameworks such as PyTorch or TensorFlow Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib Strong experimental skills, curiosity, and initiative in research projects Job
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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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to the Lab’s broader effort in CH4 and CO2 utilization R&D. The role will require the individual to work with personnel that perform machine learning and molecular simulations and electrochemical device testing
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frameworks (e.g., CIME/ESMF/NUOPC), wave–surge interactions, and coastal nutrient/salinity flux transport. Familiarity with leadership-class computing environments (ALCF/NERSC/OLCF). Evidence of collaborative