1,240 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Associate position in computational fusion plasma physics. The successful candidate will join the Lehigh University Plasma Control Group (LU-PCG) and contribute to research on turbulent transport, energetic
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. Qualifications To qualify for the DOE OREM Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Be a U.S. citizen at the time of
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. Conduct power profiling, energy-per-inference measurements, and latency benchmarking on physical edge hardware platforms. Build strong collaborations within ORNL and with the neuromorphic computing and
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Summary Michigan Technological University is seeking a Postdoctoral Scholar for our Physics department. The position is part of a collaboration with Brookhaven National Laboratory, to develop next
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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students and for collaborative work within the Institute for Gravitation and the Cosmos and the Institute for Computational and Data Science. The candidate must have a PhD in Physics, Astronomy or a closely
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nitrogen-vacancy (NV) diamond quantum magnetometry for high-energy physics experiments. The HEP Division performs cutting-edge research leveraging advanced detector development, high-performance computing
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seeking 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
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faculty and postdocs in the physics and astronomy departments, and will have access to the resources and expertise of the Materials Research Institute (MRI) and the Institute of Computational and Data