256 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Oak Ridge National Laboratory
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fabrication Machine learning (ML)/artificial intelligence (AI) coursework Experience with AI/ML libraries (TensorFlow, PyTorch) Special Requirements: Work involves various physical requirements and working
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experience, or a B.S. with 15 years relevant experience. Demonstrated experience engaging with U.S. Department of Energy (DOE) program offices and aligning work with their strategic priorities. Excellent
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of quality initiatives, assesses satisfaction, and exchanges feedback and lessons learned. Analyze, interpret, and communicate quality and performance data to management in support of established metrics and
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to national security. This position resides in the National Security Program Office, Intelligence and Special Programs, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As a U.S
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to learn new material and technology rapidly and put that learning into effective practice. Demonstrated ability to problem-solve and debug application code independently. Preferred Qualifications
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Qualifications: A BS in computer science, information technology, computer engineering, or a related field of study and a minimum of 8 years of proven experience is required. An overall combination of equivalent
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qualified candidates to fill a researcher position. The work in this group supports the U.S. DOE’s Office of Geothermal, Building Technologies Office, and other customers. Major Duties/Responsibilities
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. Work with stakeholders to implement corrective actions, best practices, and lessons learned into existing processes. Flow down requirements from codes, standards, Federal Regulations, and contract
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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning
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relevant experience, or a B.S. with 15 years relevant experience. Demonstrated experience engaging with U.S. Department of Energy (DOE) program offices and aligning work with their strategic priorities