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improve federal transit operations and oversight. Projects may include: Performing exploratory data analysis across diverse FTA datasets. Building and evaluating statistical and machine learning models
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Analyzing results and simulating environments of interest Quantum Information and Sensing Nuclear Science and Weapon Effects Artificial Intelligence, Machine Learning, and Cyber Security Materials, Extreme
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through the Global Emerging Infections Surveillance Program Office. The objective of the GTD Study is to acquire cross-continent comparable data on the epidemiology and etiology of enteric disease threats
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opportunity is with the DCPH-A Toxicology Directorate that provides toxicological assessment of novel military-relevant compounds (MRC) currently under research, development, testing, and evaluation (RDT&E
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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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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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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