309 programming-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Oak Ridge National Laboratory
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bioenergy. The research supports missions for multiple program offices within the U.S. Department of Energy (DOE), including Office of Science, Office of Nuclear Energy, Office of Fusion, Hydrocarbon and
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-processing, information extraction, and post-processing using existing SDR frameworks and algorithms Rapidly prototype SDR signal chains and systems through design, programming, hardware integration, testing
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming
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requirements under the supervision of a project controls manager for the program. This will include support for: Development/maintenance of project work breakdown structure (WBS) and dictionary, Development
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) to meet special customer needs or modify existing systems. PLC programming as required. Adhere to the principles of Safe Conduct of Research by raising safety concerns, maintaining a questioning attitude
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and other technicians with operations in chemical and radiochemical laboratories. Ensure compliance with environmental, safety, health, and quality program requirements. Mentor and train technicians
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competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your
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concepts (roles, policies, and service accounts) in platforms like AWS, Azure, or GCP. Strong working knowledge of Linux system fundamentals and common network protocols Programming and scripting skills in
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming