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Field
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supporting antibiotic drug discovery efforts. The successful candidate will gain valuable experience understanding the drug discovery process and contributing to a team for advancement of molecules. Education
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workflows, and data engineering for mobility platforms • AI/ML for transportation prediction, system optimization, and environmental/health impact modeling • Deployment of decision-support tools for public
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experiments, including operation and optimization of laboratory- and pilot-scale fermentors/bioreactors. Apply plant tissue culture techniques and other biotechnological approaches to support sustainable
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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, synthesis, and optimization of magnetic materials, alloys, and critical-materials chemistries. Particular emphasis will be placed on efficient utilization of critical elements, rare-earth processing and
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‑guided optimizations across languages (Julia/JACC, Mojo/MLIR, Rust/LLVM). Incorporate Enzyme-based automatic differentiation and multi-language IR tooling for AI‑driven analysis. High‑Productivity
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microscopy (TEM, STEM, EELS, etc.) Nonlinear optical materials property measurements Process development and optimization (nanofabrication and/or materials deposition) Strong organizational skills including
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public school of medicine. We
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University, College of Veterinary Medicine, is seeking Postdoctoral Associate candidates. The goal of our research is the optimization of dry-off strategies in dairy cows. In this applied program, we aim