2,538 engineering-computation-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United States
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an
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few- and many-body systems, and quantum computing. Candidates in all these areas are strongly encouraged to apply. Scientists in the group working in these areas include Joe Carlson, Stefano Gandolfi
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Resident/Green Card holder, or (3) in the application process to become a U.S. Permanent Resident/Green Card holder. • Ph.D. in Physics, Chemistry, Quantum Information Science, Optics, Electrical Engineering
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
The Christopher S. Bond Life Sciences Center Libault Lab Job Description The Libault’s lab has an opening for Postdoctoral Researcher looking to harness their expertise in bioinformatics, computational biology
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engineering principles Experience working safely with hazardous materials using engineering controls such as gloveboxes is desired. Knowledge of the use of computers to design and control experiments and to
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Massachusetts Institute of Technology, Laboratory for Nuclear Science (LNS) Position ID: MIT-Laboratory for Nuclear Science (LNS)-RONALD2026 [#31496] Position Title: Position Type: Postdoctoral
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Mar-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Engineering Internal Number
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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