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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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, Python, or Ansible. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP
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integration, documentation, and collaborative development. Familiarity with parallelization and high-performance programming techniques such as MPI, OpenMP, multiprocessing, or distributed computing in Python
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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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Requisition Id 17270 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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the following areas is preferred, and an exceptionally strong candidate in a single area is also encouraged to apply. Relevant areas include: Parallel and distributed graph and or ML algorithms
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, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance
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drug testing program. Visa sponsorship is not avaiable for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy
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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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success. Basic Requirements: Ph.D. in Data Science and Engineering, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related field. Strong programming proficiency in