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                previous Postdoc studies in at least one of the following areas: quantum optics, quantum networking, quantum computing. Strong theoretical background in the trapping and coherent manipulation of neutral 
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                Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher - Quantum Computing Simulation (NESAP @ NERSC) postdoctoral fellow to join NERSC's Workflow 
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                National Lab's (LBNL ) Applied Mathematics and Computational Research Division has an opening for a Career-Track Computational Research Scientist at the intersection of High-Energy Physics and Quantum 
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                Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's 
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                Mathematics Computational Research Division (AMCR) has an immediate opening in the Quantum Information Science and Technology Group (QuIST ) for a Postdoc Follow in support of The Advanced Quantum Testbed (AQT 
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                to accelerate discovery through advanced computing, artificial intelligence, and data-driven science, supported by state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications 
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                Fellowship Location: Berkeley, California 94720, United States of America Subject Area: Computing Sciences Appl Deadline: 2025/10/24 11:59PM (posted 2025/09/04, listed until 2026/03/04) Fellowship 
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                Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences The Computing Sciences Area at Lawrence Berkeley National Laboratory is now accepting applications for two 
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                experience. please note that FY26 postdoc rates are still being under consideration and may be shifted accordingly This position is subject to a background check. Any convictions will be evaluated to determine 
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                wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC