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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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tools such as Bash, Python, or Ansible. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks
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duties. Ability to effectively manage time and see assigned parts of projects through to completion on deadline. Proven ability to juggle multiple related projects in parallel with concurrent and staggered
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programs under Clinical Research Support (CRS) and reports to the CRS Finance Director. The position is temporary for a max of a six-month period. Assists the pre award and post award staff on the creation
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
patients requiring parallel care plans (e.g., neoadjuvant chemotherapy and surgery). Troubleshoot referral issues and maintain referral tracking reports. Schedule imaging exams and offsite visits, adhering
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of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability
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cutting-edge requirements into resilient and scalable systems. The successful candidate will serve as a trusted technical advisor, systems architect, and subject matter expert across multiple classified HPC
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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environment. This includes a HPC cluster with NVIDIA H100 nodes, parallel storage and fast interconnects, dedicated workstations with multiple A6000 GPUs, and web-based services via Microsoft Azure
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-application enterprise compute servers. This position is the primary system administrator on multiple computational clusters running Linux. They also assist computational researchers in efficiently running