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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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strategies and responses for rapid DOE requests for information, priority AMMTO initiatives, and high-priority DOE goals. Provide timely, decision-useful information to AMMTO leadership and identify
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Requisition Id 16863 Overview: Within the NND, the Incident Modeling and Computational Sciences (IMCS) group focuses on modeling, analytics, and software development for nuclear incidents, such as
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Laboratory (ORNL). CSED performs transdisciplinary computational science and analytics at scale to produce advancements in physical sciences, engineering, and biomedicine and health. The Quantum Computational
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Program (ITP). This role protects DOE and ORNL personnel, facilities, and classified/unclassified information and other U.S. Government assets by integrating counterintelligence (CI), cybersecurity
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. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale
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40 CFR Part 82 and 40 CFR Part 84. Preferred Qualifications: Strong analytical, organizational, computer, and written communication skills. Motivated self-starter with the ability to work independently
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systems, data systems, ETL, analytics, visualization, computer driven distributed data processing, or similar geospatial research projects. Experience with open-source tools and system, OGC web services
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leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others Knowledge of current ORNL business processes and