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within the Medical College of Wisconsin (MCW) and be inspired by the work we can do together to improve health, and make a positive, daily impact in our communities. In the role of a Postdoctoral
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Upgrade for the high luminosity running of the LHC and searching for Beyond the Standard Model physics using effective field theory. The Post Doctoral Scholar will take a leading role in analysis of Run 2
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of Postdoctoral Researcher in Carbon Composites R & D. The Postdoctoral Researcher will lead the development, fabrication, and performance evaluation of carbon-carbon and carbon-metal composite materials within
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develop cutting-edge statistical models and computational methods to systematically extract knowledge of molecular interactions from single-cell multi-omic, multi-context data. As an integral part of our
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 41 minutes ago
Position Title Post-Doc Research Associate Vacancy ID PDS004631 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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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 9 hours ago
Department of Energy (DOE), providing analysis on domestic energy policy. Its work spans technology policy, infrastructure policy, state, local, tribal, and territorial policy, and energy jobs. It provides
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. Under the direction of Dr. Mark Rossi (PI and founding member of CNM), the Postdoc will be responsible for the design, analysis, interpretation, and presentation in oral and written form of experiments
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and be familiar with the work of Mokhtar Soussi. This work focuses on southern Morocco and Souss culture. It mentions links with sub-Saharan Africa. The post-doctoral candidate will need to identify all
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics