65 evolution "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" positions at Argonne in United States
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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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, competitive, and energy-efficient U.S. manufacturing systems. The appointee will be expected to lead core model development and as needed, help expand capabilities in co-optimization of industrial end-use and
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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 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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of experimental quantum communication hardware development, optical memory qubit characterization, and fiber-based networking demonstrations using novel memory qubits. The goal is to employ the natural telecom
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and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug
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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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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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(APS). The GL also contributes to the development of next-generation microscopy methods, instrumentation, and data workflows, while overseeing the group’s day-to-day operations, budget, user science
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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