Sort by
Refine Your Search
-
laboratory experiments, gaining practical experience in managing research projects. Honey Bee Sample Collection and Analysis: The participant will be trained in the collection, processing, and analysis
-
excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The Healthy Processed Foods Research (HPFR
-
cannot be feasibly built across the wide range of environmental conditions present in U.S. croplands. To address this, computer simulations can evaluate the performance of different cropping systems across
-
for participation in this program. Health insurance can be obtained through ORISE. The participant does not become an employee of ARS or ORISE. However, this position requires a pre-employment check and a full
-
processing required for discovering genetic (e.g., SNP, CNV) and epigenetic (e.g., DNA methylation) variations, as well as functional elements (e.g., enhancers and promoters) using short- and long-read
-
Vadose Zone Processes: Fellows will gain hands-on experience monitoring root-zone moisture and subsurface flow dynamics. Fellows will practice downloading water level data, performing geophysical logging
-
Processes: Fellows will collaborate on assessing biogeochemical alterations following wildfires. Activities involve collecting and analyzing water, soil, and bedrock samples to observe microbial community
-
tradeoffs. EXPECTED RESULTS: We expect that innovative practices will yield positive environmental benefits, such as reduced soil erosion, improved soil infiltration, more efficient nutrient budgets, and
-
interdisciplinary research team, the successful applicant will gain invaluable hands-on experience to all phases of the research process. This includes opportunities in: Elucidating molecular mechanisms/pathways
-
pathogens, such as those causing wheat blast and soybean red leaf blotch. Acquire skills in collecting, processing, and analyzing whole-genome sequence data. Learn to design, develop, and optimize fungal