67 evolution "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Argonne
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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 Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join an R&D team conducting use-inspired research supporting the development of molten salt technologies
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and characterizing new materials and membranes for critical minerals separations. The ideal candidate will have expertise in membrane development and electrochemical processes. This position will be
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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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The Applied Materials Division, Process R&D and Scale up Group at Argonne National Laboratory is seeking a Postdoctoral candidate to conduct general research in material science and electrochemistry related to next generation cathode material synthesis for lithium-ion and sodium batteries. The...
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tool development. Application Procedure: Interested candidates should submit: A detailed CV A cover letter describing your research experience and interests. GitHub profile (if available) Job Family
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staff through effective communication and collaboration. Contribute to research and development activities related to future accelerator facilities. Document research results and present findings
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simulations and/or theoretical studies. Maintain positive and effective working relationships with APS technical staff through active communication and collaboration. Participate in research and development
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
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This position focuses on the research and development of novel radiation detectors and associated edge-computing circuits and algorithms for X-ray, particle, and nuclear physics experiments