311 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory in United States
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nuclear material, classified matter, and other DOE assets based upon analysis. Working knowledge of current versions DOE Order 473.1A, Physical Protection Program, DOE Order 470.4C, Safeguards and Security
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risks. Strong computer and organizational skills with the ability to multitask are required. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently
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participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and
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with environmental, safety, health, industrial hygiene, and quality program requirements. Be able to wear PPE, such as but not limited to respiratory protection and anti-contamination clothing. Deliver
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test and participation in an ongoing random drug testing program. 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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aspiration to be a key player in establishing a vibrant public-private fusion partnership program in the US. Responsibilities will include developing partnerships with the private sector that leverage and
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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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conformance to program and contractual requirements by reviewing subcontractor performance, costs, prices, invoices, and schedules. Exhibit competence in focus area, while also demonstrating the ability
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will focus on long-term annual capacity planning to meet program objectives as well as short-term machine operations planning based on resource availability and changing operational conditions. This