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virus genomics, bioinformatics, data science, and scientific computing. The fellowship will focus on using genomic and laboratory data to strengthen respiratory virus surveillance, improve analytical
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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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maintaining bioinformatic tools to help BSPB and its partners (both national and international) to investigate outbreaks, conduct surveillance, and identify novel species of bacterial pathogens. BSPB is looking
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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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have received or be currently pursuing a bachelor's, master's, or doctoral degree in one of the relevant fields (microbiology, chemistry, food science, and/or bioinformatic). Degree must have been
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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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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