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dynamic priorities, and navigating an environment with frequent high‑urgency requests. This role involves leading project management efforts and fostering strong, collaborative relationships with federal
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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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solutions, and continuous modernization. Strong leadership, collaboration, communication, and adaptability are essential. Major Duties/Responsibilities: Staff Management and Team Leadership Lead, mentor, and
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of analytics into production systems Knowledge of experimental design, uncertainty quantification, scientific machine learning, or digital twin methodologies Experience collaborating across national laboratories
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benchmarks, and disseminate results through publications and briefings. You will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision-making in a
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also work collaboratively with other national laboratories, industry and academic partners, and the international community to execute projects. The successful candidate is expected to demonstrate a
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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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, prioritization of tasks, interpretation of results, troubleshooting, and development of next-step strategies. Collaborate effectively with scientists across disciplines while independently advancing assigned
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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. Demonstrate proficiency in MS Word, MS Outlook, MS Excel, and PowerPoint. Must have ability to learn quickly and adapt to rapid changes. Excellent interpersonal and verbal and written communication skills