246 data-"https:"-"https:"-"https:"-"https:"-"ODTÜ-GÜNAM" positions at Oak Ridge National Laboratory
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on qualifications, relevant experience, skills, and education. NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large
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continuity of operations by managing urgent matters, prioritizing tasks effectively, and exercising sound judgment under pressure. Exercise discretion when handling sensitive or confidential information
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manufacturing, toolpath generation, machine tool operation, and data analysis. As part of this role, you will be tasked to lead the management of project timelines, troubleshoot equipment for routine maintenance
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regulations for domestic and international shipments of hazardous and radioactive materials in the most efficient and cost-effective manner while maintaining compliance Review and interpret analytical data
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of computational scientists, computer scientists, experimentalists, materials scientists, and conduct basic and applied research in support of the Laboratory’s mission. Engage with the broader community
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classified research and development to support data analysis. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research
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radiological facilities. Utilize Windows based personal computers, instrumentation operation, data reporting, analytical calculations, and sample management. Ensure compliance with environment, safety, health
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project schedule, Coordinate technical issue resolution with design team, Design and Project Management, and others as appropriate, Conduct Design Reviews to Ensure documents (drawings, specifications, data
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procedures for operation and maintenance. Evaluate data generated from the facility data monitoring software to make recommendations for improved design or operational practices. Participate in operational
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nexus, data centers, and water & wastewater sector. You will work independently and with senior technical staff toward collecting data for all steps in development of manufacturing process flow sheets