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researchers exploring ways to improve the manufacturability of these materials and better understand their performance as high-temperature structural materials in oxidizing environments. You will participate in
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on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, and analysis of large, diverse datasets that benefit from high
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, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
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(GGRU), USDA aimed to understand the grapevine response to environmental stresses like cold/freezing, drought, heat, and nutrient stresses. The research goal is to expedite research findings
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information on the science and engineering enterprise, but also will provide you with an exclusive access to high quality data sets and experiences in data analysis, statistics, and more. Where will I be
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in-house high-throughput and Big Data facilities for RNA-seq, scRNA-seq, microarray analysis, and bioinformatics including high-performance computation. You will participate in the research project
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square feet and high-performance computing facilities at the DOD Supercomputing Research Center. What will I be doing? Process-based flood frequency analysis (FFA) integrates recent advances in
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. Please note that field research may occur during adverse weather (e.g., extreme heat or cold, during rainfall events). Laboratory activities may include processing soil, plant or water samples for analysis
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to barley disease and pest resistance or other interesting traits. You will also assist in performing genome-wide association studies to identify genomic regions or candidate genes associated with disease
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to modify food plants and enhance the use and performance of agricultural materials. Research Project: The ORISE participant will be a part of a collaborative research initiative focused on the processing and