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developing stress resistance strategies through trait identification and stacking. Maintaining, evaluating, and utilizing grapevine germplasm. Growth and experimentation with grapevine. Use of high-performance
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/modifiers for asphalt binders and lubricants, research the separation process to produce high boiling FPO fraction, analyze their mechanical properties, and assess their performance evaluation. Resulting
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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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, and; Material strength and high specific surface area performance value. The participant will contribute to a collaborative research program focused on understanding the cotton based (barrier protective
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supported by the USDA-ARS Vegetable Crop Research Project in Madison, WI. This fellow will participate in research developing new techniques for evaluating plant chemical composition and performing genetic
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culture systems are largely underutilized in honey bee and other bee research to study the effects of stressors at a high level of resolution under controlled conditions. Although a continuous honey bee
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supported by USDA-ARS is to develop corn varieties with reduced grain protein content coupled with high yield. This will help US farmers continue to produce corn grain efficiently for animal feed and
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phenotypes in warm water aquaculture species. The fellow will learn to utilize genome-scale datasets from host-pathogen interaction studies along with high-performance computing resources to answer scientific
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high-resolution mass spectrometry and high-performance liquid chromatography to identify and profile phytochemicals, the translation to nutritional impact remains a challenge. Under the guidance of a
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research