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this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security. The successful candidate
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ability to maintain organized and accurate documentation and records. Strong written and oral communication skills. Ability to learn and apply new processes, procedures, and systems while working in a
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support research staff within ADADS and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including the characterization of nuclear material
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, and the ability to apply cyber-physical systems security technical knowledge. Demonstrated ability and willingness to acquire new knowledge and learn new skills, along with superior interpersonal
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, retrieval-augmented generation systems, or other AI-enabled tools that improve access to structured or unstructured data. Experience with machine learning, artificial intelligence, and/or natural
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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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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. Proactive mentality with a commitment to continuous learning and improvement in the rapidly evolving HPC field. Special Requirements: Visa sponsorship is not available for this position. Work may involve
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management, and other needs for DOE, DOW, and DHS sponsors. This is an early-career position intended for a candidate who will work alongside and learn from experienced staff while independently executing
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, considering hazards for every task and where learning never stops. Continually seek ways to increase operational efficiencies and improve safety culture in support of the research mission and champion