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of healthy foods with healthful ingredients. In collaboration with the Grain Science and Industry Department at Kansas State University and the USDA-ARS Grain Quality and Structure Research Unit in Manhattan
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topics for independent study projects include modeling carbon tradeoffs under unplanned fire and the long-term outcomes of restoration treatments for structure, composition, and tree vigor. The fellow will
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theoretical solutions for modernizing infrastructure, focusing on energy efficiency, environmental controls, and biosecurity requirements. Observe and engage in the stages of federal construction and repair
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Objectives: The participant will develop an understanding of cotton fibers as a textile material through chemical transformations and mechanical construction taking into consideration fiber morphology and
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the underlying impacts of stressors on bee health and analytical skills for understanding colony level dynamics and predicting mass colony loss events. Learning Objectives: The fellow will learn and apply
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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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areas. These include, but are not limited to: Applying machine learning algorithms to solve real-world problems. Creating and structuring databases for storage, retrieval, and image analysis. Determining
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outdoor settings. Studies may include dynamic environmental factors, surface dependent features as well as toxicology studies to fully characterize aerosol threat materials. As an ORISE fellow, you will