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on understanding novel and emergent behavior in nanoscale magnetic heterostructures, particularly in confined 2D van der Waals magnets and related devices. The goal of the program is to study and control magnetic
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore
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. The ability to conduct independent research such as designing experiments and addressing fundamental and/or applied scientific questions. Good collaboration skills and be able to work in a team
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pressure, and high strain rates, in effort to address outstanding scientific questions regarding material behavior near and across the solid-melt transition and into the melt region. Measurements will be
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campaigns using advanced synchrotron X-ray techniques to generate quantitative, AI-ready datasets that reveal defect-mediated mechanisms governing the stability, adhesion, and transport behavior of thin films
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and lanthanides within controlled atmosphere gloveboxes. Apply chemical thermodynamic and kinetic theories to understand processes and develop models of material interactions and behavior in molten salt
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will conduct advanced research to develop, evaluate, and scale efficient and cost-effective bioprocess technologies that improve resource and energy utilization, reduce dependence on imported materials
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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus
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independently and conduct research in a highly interdisciplinary environment of chemists, physicists, and materials scientists. The role will require the individual to work with experimentalists focused
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work independently and conduct research in a highly interdisciplinary environment of chemists, physicists, and materials scientists. The role will require the individual to work with experimentalists