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Field
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, including synthesis of fuel materials and recycling of used MSR salts. The selected candidate will develop and optimize process chemistries to synthesize chloride and fluoride species, recover metals and
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one or more of the following will be given priority: Cryo‑EM grid optimization, data collection (Krios/Glacios), and reconstruction workflows Structural analysis of dynamic/heterogeneous complexes
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Engineering, Mechanical Engineering, Pharmaceutical Engineering, or other related disciplines. The center’s research mission is to develop a scientific foundation for optimal design of structured organic
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improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques
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Microplate, droplet, cell-free, or growth-coupled systems UPLC, LC, and GC-MS based screening assay development Automation and data-driven optimization Biochemistry and Chemical biology Design, synthesis, and
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, safety, and compliance. Perform preventive maintenance on laboratory equipment to keep them in optimal working condition. Conduct experiments related to identifying metabolites in plant and biological
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assessments, develop high throughput behavioral and neural-behavioral screens including optimizing optomotor assays, sperm motility assays, gonad assay, fecundity assays, kidney function assay, organ
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optimally interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in