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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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. Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia. Grow your career in a mission-driven, innovation-focused environment with access
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). Major Duties/Responsibilities: Develop AI/ML models and systems for diverse data and mission contexts Design and implement reproducible pipelines for data acquisition, feature engineering, model training
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control, and model retraining, enabling reproducible, scalable, and high-reliability AI-driven experimentation. Report and publish scientific results in peer-reviewed journals in a timely manner Present
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breakthrough science in fields like fusion energy, climate modeling, AI, and national security. Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia
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exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector hardware located at W7-X such as
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group of scientists, technicians, and engineers on challenging, application driven projects in support of the DOE Isotope Program and other DOE mission areas. This has been a quickly expanding program at
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. Work collaboratively with engineering, IT, R&D and Operations teams to meet data-driven needs. Document processes and develop tools or scripts as needed to support data integrity and performance. Ensure
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for CT. Major Duties/Responsibilities: Lead research on sparse-view and limited-angle CT algorithms for scientific and industrial applications. Develop and apply ML/AI-driven computational imaging methods
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine