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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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instrumentation and analysis, data management, software applications, record keeping, compliance training, and the principles of scientific study design. Learning both general and specialized research skills
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rewarding component of the fellowship. Learning Objectives: As part of the fellowship, the selected candidate will gain hands-on experience and develop expertise in key areas of plant breeding and genomics
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hands-on end-to-end exposure to all aspects of extraction, library preparation, running sequencing instruments (PacBio, Oxford Nanopore, Illumina, and Element), project management, data manipulation and
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conditions Perform modeling and data analysis using coding tools and geospatial data Under the guidance of the mentors, the participant will have the opportunity to develop and conduct in planta experiments
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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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hands-on end-to-end exposure to all aspects of extraction, library preparation, running sequencing instruments (PacBio, Oxford Nanopore, Illumina, and Element), project management, data manipulation 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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of produce at the retail terminus. Develop instrumental analysis techniques (e.g., HPLC, HPLC/MS) and laboratory methods to evaluate postharvest quality traits and to analyze bioactive compounds, nutrients 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