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candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program under the DOE
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- 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Scholar Position Title Cancer Health Drivers Program Postdoctoral Trainee Vacancy ID PDS004936 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
Scholar Position Title Cancer Health Drivers Program Postdoctoral Trainee Vacancy ID PDS004936 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Positions in Computational Neuroscience & AI Mission The A. Mathis Group for
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in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations. The research team collaborates
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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: 279052 Minimum Education and Experience: PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field Prior experience with applied