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We are seeking a highly motivated and creative Postdoctoral Researcher to join the X-ray Science Division (XSD) at Argonne National Laboratory. The successful candidate will develop an AI-enabled platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning,...
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partners. Responsibilities will include designing and conducting experiments, developing slurry-based processing methods, building and operating materials recovery systems, analyzing material transport and
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bulk crystals. Grow epitaxial antiferromagnetic oxide thin films, such as α-Fe2O3, Cr2O3, NiO, using magnetron sputtering system. Build and measure cavity coupling with antiferromagnetic magnon modes in
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options for UNF and related separations flowsheets, with an emphasis on hands-on experimental work in radiochemistry laboratory environments. Responsibilities include designing, building, modifying, and
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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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modify laboratory procedures and protocols, develop experimental designs, run technical experiments, make detailed observations, gather and analyze data, and effectively report results. The position
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work related to the development of new processes for metals production and processing. Prepare formal reports, make presentations, and publish to establish leadership position in R&D for metallization
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or battery materials testing is recommended but not required. The candidate will design or modify laboratory procedures and protocols, develop experimental designs, run technical experiments, make detailed
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. This interdisciplinary work allows early-career researchers to build highly valuable expertise across quantum information science, materials science, engineering, and particle physics. Please feel free
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous