10 coding-"https:"-"https:"-"https:"-"U.S" positions at Lawrence Berkeley National Laboratory in United States
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annually, which fits within the full salary range of $139,440 - $235,308 annually for job code C71.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position
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to write codes to reduce and analyze data. Experience in synchrotron-based x-ray science. Ability to perform independent hands-on work in an experimental endstation. Desired skills/knowledge: Experience of X
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of education and experience. Experience with infrastructure as code (laC) tools (e.g., Terraform, Ansible), containerization technologies (e.g., Docker), and container orchestration platforms (e.g., Kubernetes
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or systems neuroscience Experience with Superconducting Circuit simulation and design Experience with neuromorphic computing Experience with coding in C++/python for CAD tool development for ASIC design
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needs. Salary Information: This position has a budgeted salary range of $117,132 - $146,400 annually, which fits within the full salary range of $117,132 - $197,676 annually for job code C70.2. It is not
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planning. Proficiency in Python and Bash for building, optimizing, and debugging scientific codes (C, C++, Fortran, Java), including experience with compilers (GCC, Intel), debuggers, Makefiles, and version
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, State, and industry codes and standards. Use AutoCAD and related software to update, verify, and generate control system drawings, specifications, and documentation. Provide direction to internal crafts
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, and development. Proficient with oscilloscopes, multimeters (digital and analog), function generators, and pulse generators. Color vision sufficient for wiring/component codes and safety indicators
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codes is preferred. Support scientific staff and develop software methods to effectively use HPC resources (e.g., Laurencium and NERSC) Apply visualization and analysis software packages to facilitate
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to inform future designs. Contribute code and engage with open-source communities that are critical to the HPC ecosystem, representing NERSC's technical interests. Work on and resolve complex issues where