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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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. Physical, biochemical, and molecular characterization of sEVs. Develop and optimize efficient and reproducible EV isolation protocol based on downstream applications. Outline LC-MS/MS based proteomic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Position Title Post-Doc Research Associate Vacancy ID PDS004498 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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. Some of the scientific questions that motivate our work are How do different regions of the brain interact to learn new motor skills? What are the neural mechanisms underlying optimal performance in
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associated with rules of origin, labor value content, and customs valuation of US imports in these industries. Your work will contribute to the understanding of sustainable and efficient transportation and
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will focus on the development, optimization and application of multi-modal analysis strategies and pipelines for sequencing data generated on nucleic acids isolated from biofluids (genomics, epigenomics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Position Title Post-Doc Research Associate Vacancy ID PDS004495 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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pursue this venture. KAUST’s culture embraces a healthy work and life balance. The university campus is located on the Red Sea's shores, built to protect the fragile coastal ecosystem, which includes a
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materials to jonc101@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered
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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI