Sort by
Refine Your Search
-
. Within the lab, the participant will collaborate closely with others to help design, conduct, and finish research projects. The fellow will be stationed at the USDA-ARS Honey Bee Breeding, Genetics, and
-
is to conduct agricultural research to: 1) assess tropical sorghum and dry bean genetic resources for disease resistance and genetic diversity and develop germplasm adapted to temperate regions, and 2
-
to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
-
the development of new and enhanced technologies that support vegetable pickling, by fermentation or acidification, in the USA, under the USDA-ARS National Program 306, Quality and Utilization of Agricultural
-
mentor, the postdoc research fellow will participate in collaborative research to develop knowledge bases of the behavior, ecology, physiology, and genetics of invasive insect pests and their natural
-
production systems, soil ecology, forage production, forage quality, nutrient management, and ecosystem services. Research Project: The perennial grass breeding program at the USDFRC develops cool and warm
-
of Defense (DoD) is offering a doctoral fellowship at the U.S. Army Medical Research and Development Command - Walter Reed Army Institute of Research (USAMRDC WRAIR). What will I be doing? As an Oak Ridge
-
communications products such as one-pagers, visualizations, and infographics for SC CASC science users. Evaluation Development and Implementation: Research, recommend, and develop practical guidance on evaluation
-
research. As a subordinate element of the U.S. Army Medical Development and Materiel Command (USAMRDC), the institute conducts research for development of medical countermeasures to treat exposure to various
-
avian influenza (HPAI) airborne transmission between U.S. poultry facilities. The primary focus of this opportunity will be on developing statistical and mathematical models to assess airborne