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using sensors, data loggers, and thermal images Lab experiments examining how nutrition affects performance and physiological traits Field experiments quantifying behavior of insects Mentor(s): The mentor
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sensors and satellite reflectance data, to develop an innovative real-time application within a drone. This application will enable the estimation of animal weight, body conditioning, animal counts, and
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of incorporating sensors, spectroscopy, imaging, and machine learning techniques into the postharvest processing workflows and/or pre-harvest evaluation of food quality and safety. The participant will have the
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food security. The overarching goal of this project is to develop gene regulatory networks (GRNs) for soybean resistance responses to a variety of pathogens including Asian soybean rust, Phytophthora
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also have opportunities to attend scientific conferences for presenting their research data and establish collaborative networks. Additionally, the participant will get chance to learn barley and
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research and development laboratories of the U.S. Navy under the Department of Defense and is one of eight subordinate research commands in the global network of laboratories operating under the Naval
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-Resistant Organism Repository and Surveillance Network (MRSN) is a unique entity that serves as the primary surveillance organization for antibiotic-resistant bacteria across the Military Health System (MHS
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to the military research network (e.g., Defense Health Agency, Army Futures Command). Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your education and support
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Survey (USGS) within the USGS Climate Adaptation Science Center (CASC) network, specifically the regional North Central CASC (NC CASC) located in Boulder, Colorado. Regional CASCs support and produce
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, observational networks, and reanalysis products. The forecasting model time lag will be paired with the time periods needed for impactful management activity (e.g., increased livestock monitoring, vector