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journals. The participant will be involved in the design of field trials, planting field trials, superimposition of stress factors, collection and analysis of visual and proximal-sensing data
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grain quality and hessian fly resistance. Conduct genetic and genomic analysis to identifying the quantitative trait loci (QTL) associated the drought tolerance, crown rust resistance and other important
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flood-induced resistance. Learning Objectives: The participant will expand their skills in plant metabolite analysis, plant genetics, and plant stress biology. They will also receive mentoring in writing
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, calibration strategies, and data analysis for semi-volatile compounds. The participant will contribute to a collaborative research program focused on understanding the dynamics of off-flavors in salmonid
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and/or extracts, bioinformatic analysis to identify putative functions in bacteria and yeasts, and texture measurements on vegetable tissue. The candidate will participate in data collection and
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resilience. Learning Objectives: The participant will receive training in insect rearing methods, insecticidal bioassays, molecular techniques, and data analysis. Mentor(s): The mentor for this opportunity is
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analysis. Mentor(s): The mentor for this opportunity is David Shapiro-Ilan (David.Shapiro@usda.gov ). If you have questions about the nature of the research, please contact the mentor(s). Anticipated
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of the forest resource, thereby sustaining forests, the economy, and quality of life.” The aims of the Statistics, Life Cycle Analysis and Economics Research Work Unit at FPL are to: 1) provide integrated
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flood-induced resistance. Learning Objectives: The participant will expand their skills in plant metabolite analysis, plant genetics, and plant stress biology. They will also receive mentoring in writing
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adapting methods from published literature. Through meticulous record-keeping, data tabulation, statistical analysis, and summarization using computer software, you will gain practical experience in managing