10 computer-programmer-"https:"-"https:"-"https:"-"U.S" positions at Lawrence Berkeley National Laboratory
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plans Opportunities to grow in your career - check out our Tuition Assistance Program A culture where you'll belong - we are invested in our teams! In addition to accruing vacation and sick time, we also
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retirement benefits , including pension or 401K-style plans Opportunities to grow in your career - check out our Tuition Assistance Program A culture where you'll belong - we are invested in our teams! In
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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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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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Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance
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, transform, and load genomic data and associated metadata into the Data Lakehouse. * Plan and perform unit, integration, and acceptance testing. * Create system specifications aligned with business
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, transform, and load genomic data and associated metadata into the Data Lakehouse. * Plan and perform unit, integration, and acceptance testing. * Create system specifications aligned with business
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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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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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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