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such as federated learning. Provenance and Reproducibility Frameworks: Build systems that enable detailed provenance tracking, schema validation, and auditable workflows to ensure trustworthy and
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challenges facing the nation. We are seeking a full-time Senior Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division (CRID) in
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. Collaborates with IT, legal, and other cross-functional subject matter experts (SMEs) and operational stakeholders to integrate records requirements into systems and workflows. Electronic Records & Systems
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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hardware located at W7-X such as Filterscope diagnostics, the Exhaust Gas Analysis System and the Continuous Pellet Fueling System (CPFS). Collaboration with a broad and diverse ORNL and multi-institutional
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hardware located at W7-X such as Filterscope diagnostics, the Exhaust Gas Analysis System and the Continuous Pellet Fueling System (CPFS). Collaboration with a broad and diverse ORNL and multi-institutional
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modeling, machine learning, and automated experimentation. Mentor and support Group Leaders to ensure excellence in research performance, staff development, inclusion, and cross‑disciplinary collaboration
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collaborative and open environment? If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new postdoctoral
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personally responsible for ensuring safe operations, raising safety concerns, using a questioning attitude, considering hazards for every task and where learning never stops. Continually seek ways to increase