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education and support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to, Learn how to communicate data and
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parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential to improve the effectiveness
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because of the large parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential
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design, and hands-on learning. Educators will also engage in ORNL’s Traveling Science Fair, gaining deeper insight into how scientific concepts are applied in real-world scenarios and how national
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design, and hands-on learning. Educators will also engage in ORNL’s Traveling Science Fair, gaining deeper insight into how scientific concepts are applied in real-world scenarios and how national
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and prepare for readiness during operational tasks. The team is further exploring novel AI method developments, including applied mathematical and machine learning solutions for real-time use. Why
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on leveraging data from permanent forest plot datasets in the Caribbean to build a comprehensive view of tropical tree species in support of conservation and broader management actions. Learning Objectives
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: Biological and Biotechnology Sciences; Electromagnetic Spectrum Sciences; Energy Sciences, Humans in Complex Systems; Mechanical Sciences; Military Information Sciences; Network, Cyber, and Computational
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP How to Apply Please visit https://orise.orau.gov/netl/ to learn more about the program and the application process
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and the application of machine learning to advance development efforts of these domestic sources by pinpointing opportunities, informing R&D, catalyzing innovation and maximizing resource value