Sort by
Refine Your Search
-
of the Aquatic Animal Health Research Unit are the development of vaccines, rapid detection tests and shrimp and crawfish diets that will enhance disease resistance to infectious bacteria and parasites. The Unit's
-
will develop hands-on experience in plant physiology, nutritional assessment, disease severity evaluation, transcriptomic and metabolomic analysis, and scientific data interpretation. You will also gain
-
. These experiences will help you develop a broad understanding of how technologies, cropping systems, and conservation practices can improve soil health, enhance water-use efficiency, and support sustainable crop
-
. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
-
approaches to study genes involved in crop trait regulation. Develop skills in analyzing gene function and biochemical pathways associated with plant growth, biomass composition, and crop improvement. Learn
-
and related public health outcomes. Develop skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population
-
propagating and maintaining diverse plant species; conducting greenhouse inoculation experiments; evaluating symptom development; collecting plant tissue samples; and applying serological and molecular
-
diverse turfgrass germplasm, you will learn methods for evaluating adaptation, color, quality traits, and environmental stress tolerance that support the development of improved turfgrass cultivars. You
-
assessment and scientific knowledge development within a federal research setting. Learning Objectives: Through this mentored research experience, you will develop knowledge and research skills in
-
participation opportunity is available in the Chronic Viral Diseases Branch (CVDB) to train on epidemiologic research using ME/CFS clinical and population-based datasets. Under mentor guidance, you will gain