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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About
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include developing test methods for wearable technology as part of systems of devices in the home, non-clinical approaches for characterizing wearable sensor data, and developing computational modeling and
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, etc. Research activities are diverse, involving development of tools and test methods to facilitate assessment of many aspects of device safety and effectiveness, including but not limited to battery
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. This knowledge will contribute to the development of more efficient breeding methods, which will be applied to genetic data mining of the USDA National Plant Genetic ornamental germplasm collections and their
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With
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Raman imaging technologies for safety and quality evaluation of agricultural products. Learn artificial intelligence/machine learning methods to evaluate hyperspectral image data to assess safety and
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applied identifier (e.g., a collar with a name tag, an RFID microchip, or a skin tattoo). Ideally, an intrinsic method of canine identification equivalent to a human fingerprint would exist. Throughout
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these parasites as well as developing rapid methods of parasite detection and drug-resistant parasite strains. This project seeks to compile the genomic sequence of Eimeria, which are protozoa that cause
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quality attributes and resistance to diseases and pests, as well as a tolerance to environmental stresses. This will be achieved through a combination of traditional breeding methods, molecular techniques