10 computer-"https:"-"https:"-"U.S" positions at Lawrence Berkeley National Laboratory
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Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate
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undergraduate student in good academic standing during the semester enrolled in an engineering program or similar technical program. Basic understanding of engineering principles Proficiency with Microsoft Office
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-equilibrium phenomena. The computational results are expected to compare with X-ray spectroscopy, and/or pump-probe spectroscopic observations. You will: Perform computational investigation of ultrafast charge
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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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National Laboratory is hiring a Postdoctoral Scholar - Organic Spin Qubits & EPR Spectroscopy within the Molecular Foundry division. This position will support a two-year research program on correlated
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Bachelor's degree in Computer Science or related technical field; or 6 years and a Master's degree; or equivalent practical experience. Demonstrated ability to work in a collaborative team environment
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Feb-26 Location: Berkeley, California Categories: Academic/Faculty Internal Number: 106096 Berkeley Lab's Energy Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help...
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issues. What Is Required: * A Bachelor's Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field and a minimum of 8 years of demonstrated experience
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issues. What Is Required: * A Bachelor's Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field and a minimum of 8 years of demonstrated experience
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Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, with a strong research background in AI, reinforcement learning, and multi-agent systems. Demonstrated