-
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
-
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
-
, 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
-
transcriptomics datasets generated by the host laboratory. To develop insecticidal molecules, the Fellow will utilize AI/machine learning, structural and computational biology, bioinformatics, and genomics tools
-
within the past five years, or anticipated to be received by summer 2026. Preferred skills: Strong skills in molecular biology, population genetics and bioinformatics. Stipend $7,500.00 – $8,500.00 Monthly
-
. What will I be doing? As the selected candidate, you will participate in research using a variety of molecular biology assays and bioinformatic tools to analyze malaria parasite genomes for the purpose
-
of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
-
Objectives: The participant will have the opportunity to learn large animal trial management, bioinformatics techniques required for metagenomics and metatranscriptomics analysis. The participant will have the
-
molecular and -omic methods. Learn advanced statistical and bioinformatic analysis of bulk and single cell transcriptomic data. Develop methods to link food nutrition environment with health outcomes. Learn
-
The qualified candidate should be currently pursuing or have received a doctoral degree in the one of the relevant fields. Preferred skills: Experience in computer science, bioinformatics, or computational