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Field
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, implementing, and analyzing experiments on both test and preparatory scales; optimizing reaction conditions via experimental variable screens; characterizing small molecules via NMR, FTIR, and other
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science, data science, computer science, robotics, natural language processing, computer vision, optimization, or a related field A keen interest in, or background studying, the role of leadership in
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identifying metabolic linchpins then targeting these pathways for gain- and loss-of-function studies. Experiments will include utilizing and where indicated optimize state-of-the-art assays to measure then
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. The postdoc will apply and optimize new approaches for NGS library preparation and analyze genomic data for variant calling. We value diversity of backgrounds in our team and seek candidates who can commit to a
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-ray characterization, physics-based modeling, and AI-driven data analysis to accelerate the discovery and optimization of hierarchical metamaterials. The position involves conducting in situ
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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Number req26413 Department James C Wyant Coll Optical Sci Department Website Link https://optics.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights Advance groundbreaking
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associate to support ongoing and future R&D activities in high-temperature extractive metallurgy and critical materials processing. This position focuses on developing and optimizing high temperature
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methods in rice processing, focusing on modeling, simulations, and optimizing post-harvest operations, including drying, storage, and milling. Research will emphasize energy efficiency, sustainability
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited