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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0146 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete application consists of: An application Transcript(s) – For this opportunity, an unofficial...
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methods and metrics to assess the effectiveness of science communication and translation initiatives. Support the implementation and analysis of these evaluation frameworks. Leadership in Communication and
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breeding and genetics. Marker-trait association analysis and RNA-Seq analysis to identify genetic variations associated with desirable traits Preparation of data for scientific technical reports and
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. National Park Service Resource Stewardship Strategies), provide detailed analysis of each process, and interview with key contacts at each agency to better understand internal planning and decision-making
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protocols including digital PCR (dPCR), multiplex PCR, automated nucleic acid extraction, and microbial community analysis (metagenomics/bioinformatics). The participant will also have the opportunity to be
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Sample Collection and Analysis: The participant will be trained in the collection, processing, and analysis of crop and soil samples using advanced microbiological, molecular biological, and chemical
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of Defense . Qualifications The qualified candidate is a United States citizen who has received a PhD in biology, molecular microbiology, quantitative biology, or similar. Degree must have been received within
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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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, 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