Sort by
Refine Your Search
-
are not limited to, Developing new computational methods and analytical tools, with particular emphasis on machine learning and artificial intelligence approaches. Identifying signatures of viral adaptation
-
for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
-
about the most recent advances in machine learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine
-
-Resistant Organism Repository and Surveillance Network (MRSN) is a unique entity that serves as the primary surveillance organization for antibiotic-resistant bacteria across the Military Health System (MHS
-
to the military research network (e.g., Defense Health Agency, Army Futures Command). Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your education and support
-
, leading to peer-reviewed publications. The fellow may also have the opportunity to be included in helping with the USDA new world screwworm response. Learning Objectives: The fellow will learn techniques in
-
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
-
statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
-
Agrilus pest in Northern U.S.. Learning Objectives: Through participation in the research project, the participant will learn principles of classical biological control as well critical thinking skills and
-
to a motivated postdoctoral fellow interested in learning and using contemporary functional genomics approaches (CRISPR, RNAi, transgenics, etc.) to characterize the functions of genes involved in