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learning, statistical modeling, or advanced analytics applied to complex industrial, energy, logistics, manufacturing, or supply chain systems. Experience developing and applying optimization models, such as
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. This position is part of the DOE-BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC), a multi-facility collaboration integrating experimental measurements, simulations, and data science to
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within the last five years or soon-to-be completed in Chemical Engineering, Materials Science, Chemistry, Nuclear Engineering, or related field with zero to five years of experience or equivalent. Skill in
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science, or a closely related field Experience in the development and/or deployment of superconducting devices, or related technologies in quantum devices, low-temperature systems, microelectronics, or
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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, engineering, computational science, a physical science (materials science, chemistry, physics etc.), or related field. Hands-on experience with AI frameworks and employing large language models. Strong Python
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related to next generation cathode material synthesis for lithium-ion and sodium batteries. The selected individual will work under supervision and will assist the Lead PI on developing experimental methods
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of advanced bioleaching processes for recovery of critical minerals from secondary materials The candidate will design and execute experiments; operate, monitor, and troubleshoot bench- and pilot-scale
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avenues will be pursued: advancing our toroidal anvil capabilities to extend the maximum achievable pressure ranges; and depositing designed electrical circuits to create advanced multi-modal experiments
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utility, field, or experimentally derived datasets relevant to grid operations, control, or cybersecurity. Experience contributing to collaborative research software, reproducible workflows, or open-source