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prediction of agricultural application system performance. You may participate in laboratory, wind tunnel, field, and computational investigations designed to improve understanding of agricultural application
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of large-scale genomic and transcriptomic datasets Experience in high-performance computing environments (e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Ability
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repository, and to utilize software development across the Agency. This opportunity will mostly be conducted in a Unix environment and on high-performance computing equipment. Learning Objectives: Under
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