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in applying process-based cropping system models to quantify the short- and long-term effects of these conservation practices on soil health and crop productivity for U.S. growers. This specific
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sensing and decision-making in poultry processing environments. Learning Objectives: Under the guidance of a mentor, the participant will gain knowledge and experience in: Applying hyperspectral imaging
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. This fellowship offers a unique opportunity to be at the forefront of groundwater technology, gaining experience on projects ranging from groundwater sampling and geophysical imaging in the field, analysis
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therapeutics. The experience includes opportunities to learn the operation and upkeep of physiological and cell culture instrumentation, apply quality assurance and quality control practices, and contribute
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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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concept to prototype testing and calibration. This solid engineering background will be advantageous to the participant in their future career. Mentor(s): The mentor for this opportunity is Samir Trabelsi
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technical processes in detailed reports and presentations. Disseminating your research through scientific research journals, presentations, and technology demonstrations. Where will I be located? San Antonio
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-automated processing pipeline capable of analyzing high-throughput plant phenotyping and soil-sensing data to extract key phenotypic traits. Advancing crop productivity within sustainable cropping systems
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tracking clinical outcomes. The system is referred to as the Clinical Assessment Management Portal "CAMP" Identifying the systems requirements for a healthcare operation and support decisions regarding
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learning about the scientific process and field sampling methods. The fellow will also learn to identify common plant species of the interior Pacific Northwest, collect and process increment cores for tree