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(CSTR), with control over morphology, particle size, and composition Conduct physical, chemical, thermal, and electrochemical characterization of layered oxide cathode materials using a range of
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
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physical property measurement of non-aqueous solvents (viscosity, density, conductivity, electrochemical window) is desired. Familiarity with design, fabrication, or prototyping including 3D printing
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The Environmental Science Division at Argonne National Laboratory seeks a highly motivated postdoctoral researcher to advance the understanding and prediction of severe weather using both physics
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. The successful candidate will be a key member of a multidisciplinary research team between Materials Science Division and High Energy Physics Division at Argonne National Laboratory and work closely with
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High Energy Physics Division, the successful candidate will contribute to the design, fabrication, and characterization of superconducting devices based on microstrip-coupled TES technology, with
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Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of chemistry, geochemistry, chemical engineering, physics, materials science, or a closely related field Strong experience with
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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bioreactors; collect, analyze, and interpret biological, chemical, and microbial omics data; and integrate results to evaluate process performance and scalability. The candidate will contribute to process
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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