Sort by
Refine Your Search
-
species. For the second project, you will contribute to cloning the genes controlling stripe rust resistance and grain quality in barley, investigating the molecular functions of the candidate genes and
-
Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0049 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
-
the soil-water-plant-air continuum using process-based models. You will learn how to take proper soil, plant and air samples that influence carbon and nitrogen dynamics and learns how soil and plant
-
Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0046 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
-
postharvest quality and reducing losses of horticultural specialty crops caused by fungal pathogens, physiological disorders, and the control of quarantine insect pests that threaten market access and export
-
analyzing data related to weed control, herbicide performance, and whole-plant physiological processes of herbicide-resistant and susceptible populations under controlled environmental and field conditions
-
, the participant will also have an opportunity to gain experience in game management, invasive species control, and nuisance species management in support of the installation’s mission. Research activities may
-
developing algorithms for RNA-seq and whole-genome data. Learning Objectives: Under the guidance of mentors, you will have the opportunity to learn to: (a) conduct research using swine infection models; and (b
-
Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0103 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
-
of unknown PFAS, supporting agricultural research and advancing the ARS mission. The project will involve compiling high-resolution mass spectrometry (HRMS) databases for PFAS, creating machine learning models