16 parallel-and-distributed-computing-phd uni jobs at Lawrence Berkeley National Laboratory
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methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
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physics. Optimize software for performance, scalability, and efficiency on modern computing architectures, including HPC and distributed systems. Participate in research and development activities
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decision on approvals of the EIO's determinations. Provides high-level technical consultation and strategic direction to program leads. Independently manages workload distribution across multi-disciplinary
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to control and manage next-generation networks Managing scientific data and workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or
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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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need experience in a receiving environment, knowledge of DOT regulations, strong communication skills, and must possess computer skills necessary to create, sort, and manage e-mail and to utilize
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digitizing the "art of scale-up" and enabling seamless technology transfer across ABPDU's diverse portfolio of global collaborators. You will have the opportunity to combine strategic program leadership with
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health and construction safety field assessments, monitoring and sampling activities in support of asbestos and lead projects, and other EHS program support. Additionally, the role involves
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degree of tact and professionalism. Ability to perform simple mathematical calculations using spreadsheets, such as calculating percentages and sums. Intermediate computer proficiency, including
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, the U.S. Magnet Development Program, and major instrumentation efforts in nuclear and high energy physics like ATLAS, GRETA, DESI, LZ and the DUNE Near Detector. With close to 500 engineers and