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evidence of excellent classroom delivery, communication, and interpersonal skills. Computer skills with demonstrated working knowledge of the Microsoft Office suite including Word, Excel, Outlook, and
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multiple types of sensing modalities, where this expertise is applied to solve critical national problems in energy and security. Demonstrated knowledge of emerging AI and machine learning techniques as
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/blue team operations alongside DevSecOps integrations. Knowledge of privacy-preserving AI methods, secure federated learning, and cryptographic protections. Research or publication experience in
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environments for several hours at a time; lifting equipment up to 30 lbs) Ability to proactively work independently and as part of a team Demonstrated ability and willingness to acquire new knowledge and learn
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business computer software (e.g., Microsoft Office applications, especially Word and Excel; Adobe Acrobat) Advanced knowledge of ORNL’s business lines and sponsor requirements Specialized skills, knowledge
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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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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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, and compliance requirements. Strong aptitude for computer systems, electronic tools, and digital workflows. Ability to learn and adapt to new technologies, including AI-enabled tools used to support
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, assessing hazards for every task, and committing to continuous learning. Other tasks as assigned by management. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values
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needs. By leveraging advanced simulations, machine learning, and data-driven insights, the group enables more effective operations aligned with evolving energy demands. The group also develops hydrologic