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-inspired research relevant to microelectronics. The candidate will be part of a highly interdisciplinary project involving X-ray scientists, physicists, materials scientists, and computational scientists
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. The successful candidate’s research will involve synergistic collaborations within a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics and
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pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines
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synergistic collaborations with a multidisciplinary team involving experimentalists, CFD and AI/ML experts, and computational scientists to enhance the predictive capability and scalability of multi-scale and
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researchers including laboratory scientists, professors, postdoctoral researchers, and students, to facilitate the use of data management tools, develop data sharing protocols, and assist in the curation and
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the ATLAS experiment with special focus on Input/Output software and metadata handling. The position offers the possibility to collaborate with other HEP scientists on ATLAS. In addition, as part of
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, and analyze scientific data specifically related to climate risks, including extreme weather events, long-term environmental changes, and their impact on infrastructure and ecosystems. This role
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-based high-resolution surface-sensitive methods. In addition, working with the APS staff scientists, the successful candidate will demonstrate the applications to probe surface and interface nanomaterials
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team that focuses on materials for classical microelectronic interfaces and quantum information science. The group actively interacts with the broader Argonne and UChicago community of scientists as
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collaborate with biogeochemists and computational scientists to analyze physicochemical and microbial measurements of soils and evaluate plant physiological data to enhance representations of wetland carbon