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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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designing innovative location-based software systems and developing cutting-edge, award-winning web and mobile applications – focused on applied innovations for Resilient Organizations. The LIL collaborates
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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with multiple campuses Experience with the InfoEd eRA suite Experience with retrieving data and developing reports against transactional and third-party reporting systems Web programming experience (CSS