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Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-Pharm-03-26 Vacancy Open to All Candidates Department EHH BSOM Pharmacology Department Homepage https
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systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority
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Instructions to Applicants Applicants must complete an on-line application process at the following link: https://www.auemployment.com/postings/49851 and attach the following: 1) cover letter stating research
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interdisciplinary program that combines the efforts of a diverse group of faculty, programs, and schools to develop a dynamic understanding of urban issues past, present, and future. Its theme, Cities on the Edge
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) Theoretical Modeling: Develop and refine models for entanglement harvesting using continuous-variable quantum information theory and Gaussian quantum states steering. (2) Experimental Simulation: Simulate
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part