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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0286 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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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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). Research Project: You will engage in bioinformatic and transcriptomic research to characterize viral evolution and host responses during BVDV infection. You will have access to advanced molecular
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pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
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, plant pathology, bioinformatics as well as the statistical analysis of collected data. You will also be able to improve science communication experience through the drafting and publishing of scientific
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interdisciplinary exposure to genomics, bioinformatics, agricultural science, evolutionary biology, and pest management research. Mentor(s): The mentor for this opportunity is Erin Scully ([email protected]
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conditions by applying omics technologies (e.g., genomics, transcriptomics), validation of gene expression using quantitative reverse transcriptase polymerase chain reaction, and bioinformatic analyses
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at research conferences and seminars. Develop statistical and bioinformatic skills through analysis of experimental data and population genetic and genomic data from plant pathogens and beneficial microbes
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Research will be focused on the development of bioinformatic and genomics tools
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troubleshooting new assay designs, and applying omics technologies (e.g., genomics, transcriptomics, etc.) and bioinformatic analyses for the identification of unique targets that can be incorporated into rapid