1,448 computer-science-quantum-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information Science
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Job Description A postdoctoral position is available in Dr. Hai Dao's lab. The Dao laboratory at the Department of Chemical Biology and Therapeutics is seeking a highly motivated postdoctoral
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Requisition Id 15603 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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Requisition Id 15217 Overview: Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, has an extraordinary 80-year history
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 9 hours ago
Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in
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platform for realizing novel magnetic states and emergent quantum phenomena with promising applications in spintronics and quantum information science. In this project, the postdoctoral researcher will study
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Requisition Id 15429 Overview: We are seeking a Postdoctoral Research Associate who will focus on neutron scattering studies of Quantum Magnets under High Fields. This position resides in the Single
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on topics including mathematical foundations of data science and statistical/machine learning, with an emphasis on inverse problems and in-context learning for PDEs and interacting particle systems