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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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biological datasets and powerful computational tools into a unified, extensible system that supports transparent, reproducible science. This position will contribute to the core infrastructure of the system
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computing technologies. Manage time effectively and work both independently and collaboratively within multidisciplinary teams. We are looking for: Bachelor's in Materials Science, Physics, Electrical
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approaches. Contribute to scientific and technical publications. What is Required: A Bachelor's Degree (or equivalent knowledge/training) in Physics, Statistics, Computer Science or a related discipline and a
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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
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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 have a Winter Holiday Shutdown every
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to the Quantum Defect Genome effort to discover and validate novel emitters for quantum information science. What You Will Do: Perform advanced optical measurements, including cryogenic and magneto-optical
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National Lab's (Berkeley Lab) Applied Math and Computational Research Division (AMCR) has an opening in the QuIST (Quantum Information Science and Technology) Group for a Post-doctoral Scholar to advance
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National Laboratory is hiring an HPC System Software Engineer within the National Energy Research Scientific Computing Center (NERSC) division. In this exciting role, you will be pivotal in architecting
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at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on your level skills and experience. What you'll do, at Level 3: Develop AI storage and I/O services on NERSC's advanced computing and data systems