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
-
you for multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must
-
interest in weather/fuel and related data processing, analysis and visualization, to help research and develop potential expansions to our suite of weather-knowledge-based decision support systems and tools
-
Objectives: Through this fellowship, you will gain valuable hands-on experience and develop expertise in laboratory research and bioinformatics. You will have the opportunity to learn and enhance skills in
-
plants. The participant will learn and use multiple molecular biology, synthetic biology and plant biotechnology related tools and techniques including plasmid vector design and assembly, plant genetic
-
, constitute a significant economic crop for multiple states in the U.S., particularly Washington, Oregon, and California. Mucor piriformis (Mucor rot) can cause significant annual cold chain losses, reducing
-
: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Northeast@orau.org and include the reference code
-
skills in novel bioinformatics-based tools for analyzing and interpreting genomic, metagenomic, and/or gene expression datasets from animals and microbes, particularly in response to emerging Salmonella
-
, genetics, analytical chemistry, geology, geophysics, statistics, and physical sciences. DNA-related STEM research focuses on developing and validating new methods, including massively parallel sequencing