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data and workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or related discipline. Candidates must have no more than 3 years
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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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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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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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databases, assemblers, aligners). Experience with distributed computing and high-volume DNA sequencing. Demonstrated proficiency with programming languages including Python, R, C/C++, Java, in a Unix
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years of relevant experience in Linux system administration within a large distributed computing environment, including experience providing systems and end-user support for multiple scientific