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will 1) learn methods to conduct whole genome expression analyses (RNA-seq) of plant/pathogen and plant/insect interactions, 2) learn bioinformatic methods to identify and characterize candidate genes
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0154 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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Microbiology Unit at the USDA-ARS in Peoria, IL invites opportunities to apply for a Postdoctoral Research Fellow – Microbial Ecology Bioinformatics Fellowship trainee opportunity through ORISE. This fellowship
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into their professional development. Learning Objectives: This research fellow will gain experience in bioinformatics and computational biology, with the focus on arthropod genomics and genetics. The fellow will learn
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a variety of bioinformatic tools and software to analyze bacterial genomes for the purpose of outbreak investigations and local, national, and international bacterial epidemiology. Collaborating
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, improving prediction of evolutionary trends, and integrating multiple data types for enhanced surveillance. Gaining advanced training in the use of bioinformatics platforms, phylogenetic and phylodynamic
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, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses infecting swine that may be deployed in online databases or interactive websites. Learning Objectives: During this project
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genomics approach to examine host-pathogen interactions in several aquaculture species. The applicant will learn to integrate laboratory techniques with bioinformatics approaches, such as gene expression
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, and genomic approaches. The selected fellow will join our team under the guidance of the Research Leader/Supervisory Plant Pathologist, engaging in all aspects of breeding, genomics, and bioinformatics
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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