334 programming-"https:"-"https:"-"https:"-"C.N.R" positions at Oak Ridge National Laboratory
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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
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, invoices, and schedules in order to maintain conformance to both program and contractual requirements. Review and interpret government and ORNL procurement policies, regulations and procedures. Basic
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occasional remote contractors which help to support the group and overall NCCS mission. Strategically advance technical professional subject matter expertise for a variety of technical projects, programs
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program requirements. Maintain strong commitment to the implementation and perpetuation of values and ethics. Align behaviors, priorities, and interactions with our core values of Impact, Integrity
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. Above-average knowledge of standard word-processing programs. Ability to prioritize and meet deadlines; be comfortable working both independently and with all levels of researchers and staff in a team
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strengthening current programs and capabilities. In this role you will work closely with the Group Leader and other team members to identify sponsors and programs to seek out new opportunities. As R&D staff, you
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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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to develop and maintain programs and scripts that aid in the operation and automation of tasks using various shell and scripting languages (primarily bash, Python, and Go) Ability to identify requirements and
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position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment