682 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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be Jan 15, 2026. Selected applicants will be invited to interview via Zoom. For more information about the Department of Computer Science & Engineering, please visit https://engr.ucr.edu Additional
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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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Postdoctoral Research Associate I (Computational Stellar Astrophysics) Posting Number req24359 Department Steward Observatory Department Website Link https://www.astro.arizona.edu Location Main Campus Address
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
Location: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Physics / Quantum Information , Quantum Information Science , quantum information theory , quantum information
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE2 [#27206] Position Title: Position Location: Oak Ridge, Tennessee 37831
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE1 [#27205] Position Title: Position Type: Postdoctoral Position Location: Oak Ridge
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE [#27204] Position Title: Position Type: Postdoctoral Position Location: Oak Ridge
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for the DOE Oak Ridge Environmental Management Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Have a cumulative GPA of 3.0 on a
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and