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. coastlines, including incorporation of levees, jetties, and wetlands. Ingest and process coastal datasets (bathymetry, topography, land use/cover) to support accurate wetting and drying and bottom friction
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for machine learning and AI workflows In addition to computational resources, the postdoctoral researcher will have access to dedicated wet-lab facilities at the University of Chicago and Argonne National
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lithography, dry/wet etching, and metallization Collaborate within a multidisciplinary team across CNM, MSD, APS, Q-NEXT to characterize device performance across structural, optical, electro-optic, and
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