185 data-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory
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science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12) years of aligned professional experience
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. Special Requirements: Visa sponsorship is not available for this position. Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance
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Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years
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developing and deploying AI/ML solutions. In this role, you will design, develop, and implement cutting-edge AI/ML tools and frameworks that drive efficiency, innovation, and data-driven decision-making at Oak
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system accuracy by processing purchasing, inventory, and work order transactions in real time. Review and validate material certifications, COCs, inspection records, and technical data packages
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salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD
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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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capabilities in experimental design, complex data analysis, technology and process development, and effective communication of findings through reports and presentations. Lead advanced research by applying
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computers to collect, record, and analyze data for acceptance. Develop and maintain documentation and procedures for fabricating, testing, and operating equipment. May provide work direction to trades/crafts
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protection of sensitive information. Successful execution of research and development or other large technology-based projects at ORNL or within the DOE complex. Motivated self-starter with the ability to work