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adversaries. The 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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portfolio includes materials science and engineering, chemistry, geoscience, nanoscience, soft matter science, analytical chemistry, and nuclear and particle physics applied to a broad range of scientific and
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direction, mature technologies from lab to field, and integrate sensors, data pipelines, and analytics into operational environments. This position requires deep practical experience in power engineering and
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communication skills. Strong analytical and problem-solving skills. Self-starter that takes ownership of processes and deliverables. Proficienct in applying accounting principles, policies, and procedures. Possess good
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records and information management. Analytical and problem-solving skills, with an interest in improving processes and systems. Strong written and verbal communication skills. Ability to work independently
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information. Effective written and verbal communication skills. Analytical mindset with interest in workforce data and reporting. Ability to manage multiple priorities in a structured, deadline-driven
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, and data science and analytics. Preferred Qualifications: Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal
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characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered
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performance, safety, and align with long-term governance and maintainability standards set by the OT/ICS IOSD Team. Performance Monitoring and Analytics: Track and analyze control system data to forecast
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and implement solutions with information provided through systems analysis. Ability to demonstrate analytical and problem-solving skills. Prior experience leading IT teams. In-depth knowledge in ORNL’s