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the nitrogen balance through careful measurements of N inputs and N outputs under different treatments and weather conditions. The research will utilize graphene sensors to measure N losses through the soil
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plant physiological sensor systems to monitor environmental and crop dynamics. Strengthen data management and analysis competencies through the collection, processing, and management of large
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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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, troubleshoot and integrate chemical and biological sensors and protective equipment. Analyze data from both aerosol ground truth and detection equipment. Where will I be located? Aberdeen Proving Grounds
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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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newly established network of experimental silviculture and genetics plots while leveraging existing long-term studies and datasets to meet urgent questions in the near-term. The research fellow will
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positions across the intelligence community, defense sector, and national laboratories. Elite Professional Network: Develop career-defining connections with decision-makers and technical leaders across the 18
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, bioinformatics, precision technologies, agronomy, and reproductive physiology in beef cattle, as well as opportunities for collaboration and networking. Mentor(s): The mentor for this opportunity is Brittany Davis
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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