Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Objectives: The participant will learn how to apply bioinformatics software to produce a chromosome-level map of Eimeria parasites. Once this is completed, the participant will learn how to do genome-level
-
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
-
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...
-
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
-
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
-
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
-
collaborations with USDA experts in molecular virology, immunology, bioinformatics and genomics. Mentor(s): The mentor for this opportunity is Stephen Spatz (stephen.spatz@usda.gov ). If you have questions about
-
, bioinformatics, precision technologies, agronomy, and reproductive physiology in beef cattle, as well as opportunities for collaboration and networking. Mentor(s): The mentor for this opportunity is Brittany Davis
-
generating and evaluating genome sequencing data with various bioinformatic tools. During this fellowship, the participant will be able to: Develop an understanding of how genetic analyses can be used to study
-
to quantify pathogen load in samples and metagenomics and bioinformatics to understand genetic diversity of the pathogen. Potential areas of research include genomic epidemiology, ecological surveillance, and