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Argonne National Laboratory in the Applied Materials Division (AMD) is seeking a Postdoctoral candidate to support development of advanced processes for critical materials recovery from
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Argonne National Laboratory in the Applied Materials Division (AMD) is seeking a Postdoctoral candidate to support development of advanced processes for critical materials recovery from
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spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling
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that values scientific rigor, collaboration, and professional development. Position Requirements Required Qualifications RD3: Ph.D. in computer science, electrical or computer engineering, physics
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, analyze, and interpret experimental data to assess process performance, stability, and scale-up considerations Support development of process documentation, including test plans, operating procedures, and
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using the Advanced Photon Source (APS) and other characterization techniques such as scanning electron microscopy (SEM) and powder diffraction. This is a one-year appointment centered on the development
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Directed Research and Development (LDRD) project. This research focuses on understanding how critical elements are distributed at mineral-water interfaces, with the goal of revealing the fundamental chemical
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In the Computational Materials Group, we focus on the development and use of computational and theoretical methods to understand and predict the behavior of solids, liquids, and nanostructures from
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development, and mentor postdoctoral researchers, graduate students, and visiting scientists. Candidates must hold a Ph.D. in physics, materials science, chemistry, or a closely related discipline and possess