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Field
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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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-driven experiment design. Optimize pipelines for performance, parallelization, and near real-time operation during beam time. Contribute to simulation tools to test imaging concepts, predict performance
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. This position is part of the CTMS Program Office. The CTMS Program Office is a dual-institutional
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is a highly collaborative, creative, and fun group of scientists at St. Jude Children's Research Hospital. Our research program centers on the development of state-of-the-art genomic methods
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 21 days ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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. The Department has grown substantially in the past 15 years, from 40 to 150 faculty in parallel with the remarkable growth of our hospital-based affiliated systems. Our work is evidence based and focused
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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research computing, systems engineering, or a closely related technical field supporting research environments Hands-on experience managing HPC clusters, job schedulers, and parallel file systems  PREFERRED