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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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SME support and field testing events Document results in technical reports and/or peer-reviewed publications Present findings at academic conferences and to research sponsors Work in a collaborative
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science, decision science, discrete algorithms, multiscale methods, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment
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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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. Initiate, lead, and perform independent and impactful research and development for innovative science and technology delivered to sponsors, successful proposals, presentations. Collaborate in a team
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analysis, as well as propose and collaboratively develop new avenues of application for these techniques. Other areas of focus include applications of machine learning and artificial intelligence tools
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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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) with questions related to this position. Major Duties/Responsibilities: Develop and apply machine learning models (ML) as surrogates for high-resolution process-based hydrologic models. Design and