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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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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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-tech (Geneva Campus), and USDA-ARS scientists. Research will be published in open-access, peer-reviewed journals relevant to the field, as well as communicate with research networks within the scientific
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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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this fellowship, you will participate in research projects involving canine biometric data, looking for novel ways to identify and individuate dogs using neural networks, local feature mapping, image classifiers
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well as opportunities to network with university and industry collaborators and attend and present at national conferences. Mentor(s): The mentor for this opportunity is Jennifer Wilson (jennifer.wilson3@usda.gov
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Influenza Research and Response (CEIRR) as part of the NIH NIAID CEIRR collaborative network (https://www.ceirr-network.org/centers/penn-ceirr ). The participant will have the opportunity to attend local and
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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