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contamination in corn remains one of the most persistent threats to U.S. agriculture, with significant implications for food safety and crop quality. Current satellite imaging technologies lack ability to detect
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be in English or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may
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will I be doing? Under the guidance of a mentor, you will gain knowledge in various applications of AI techniques to geospatial problems at the basic research level, including image analysis, synthesis
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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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spectroradiometers. Ability to apply AI tools and machine learning for advanced image analysis, weed-crop detection, and mapping. Experience in data collection, processing, and interpretation. Strong background in
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Products. A current research project evaluates the role of microbes in texture losses of vegetables during processing and long-term storage. The selected candidate will participate in all aspects
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, medical, or graduate training Collaborate with Iowa State University toward completion of a PhD degree Mentor(s): The mentors for this opportunity are Jianqiang Zhang (Iowa State University) (jqzhang
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magnetograms and EUV images. A key component of the analysis will be measuring plasma composition (elemental abundances), as these abundances are believed to remain largely unchanged from the corona
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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. Description: This research opportunity focuses on the development of the broadband THz Hot-Electron Bolometer (HEB) mixers with the ultimate sensitivity for operation on orbital and suborbital platforms