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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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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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environmental, safety, health, and quality program requirements. Assist with the coordination of radioactive and hazardous waste disposal. Mentor and train technicians. Assist Group Lead with other duties as
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another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a
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success. Basic Qualifications: A PhD in civil, electrical, environmental, or mechanical engineering, or equivalent. A minimum of 1 years of experience in development and testing of algorithmic tools for non
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Qualifications: Experience with ORNL’s systems, including ACTS, EDRM, and SuccessFactors. Excellent interpersonal, teamwork, computer, oral and written communication skills, and the ability to adjust to changing
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Requisition Id 15029 Overview: ORNL is the largest science and energy laboratory in the US Department of Energy. We are driven by our shared purpose to meet the world’s biggest challenges with
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position resides in the Autonomous and Complex Systems Group in the Advanced Computing Methods for Engineered Systems Section, Computational Sciences and Engineering Division, Computing and Computational
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adversaries. Our directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing
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research strategy to ensure the success of new and ongoing research projects related to AI and ML science and technology. Provide technical insights for program and project development. Lead teams to define