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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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. Learning Objectives: This opportunity will provide training in hydrologic instrumentation, sample analysis, and environmental data interpretation, supporting the agency’s mission to advance science-based
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managers. The candidate will become part of an adaptation-oriented team, which allows many opportunities to collaborate internally and with external partners. They will learn from interacting directly with
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conducted virtually. $125 per week stipend based on part-time participation each week. The opportunity to learn from world-renowned scientists and engineers. Optional professional development activities
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, data processing and report generation will be the activities performed to accomplish the project objectives. Learning objectives will include performing data collection with NETL's unique suite of non
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results to classical theory. Learning objectives will include accessing NETL's unique experimental equipment and facilities to further the fundamental understanding of fracture propagation as a function of
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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
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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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in several areas. These include, but are not limited to, Using MPS to identify new potential targets for future medical countermeasure development Learning development and characterization