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Field
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qualifications: Experience with VASP and high performance computing Proficiency in programming (Python or C or C++ or Fortran) Experience with developing machine learning interatomic potentials A solid background
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: 277494302 Position: Postdoctoral Research Associate Theoretical High-Energy Physics Description: "Post-doctoral Associate in Theoretical High-Energy Physics'The Physics Department at Princeton University
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Cryoelectron Microscopist 100% effort. Perform high resolution structure determination of kinase
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 23 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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and risk assessment modeling. • Prior experience with CCUS research projects. • Familiarity with high-performance computing (HPC) and parallel computing techniques. Required Knowledge, Skills, and/or
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annually for three subsequent years subject to review. GENERAL DUTIES: Research in nuclear physics. The successful candidate will contribute to several aspects of the group's research program including
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damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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weaknesses. For instance, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting
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to support the design. Perform computational fluid dynamic, computational magnetohydrodynamic, thermal hydraulic, and mass transport simulations of tritium breeding blanket designs. Collaboration with a broad
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient