Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Research Training (SMaRT) Program. Students who will be rising sophomores, juniors and seniors in the Fall 2027 semester are eligible to apply. This prominent program will select approximately 40 qualified
-
watershed systems. Time spent with CHL provides opportunities to observe how multidisciplinary teams explore hydrodynamic processes using large-scale physical facilities, advanced computational models, and
-
:59:00 PM Eastern Time Zone Description The Laboratory for Physical Sciences (LPS) Advanced Computing Systems (ACS) team in the NSA Research Directorate is joining its counterparts in the Capabilities
-
sent by Friday, September 4, 2026. Application Deadline 9/18/2026 3:00:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Office of Science Graduate Student Research (SCGSR) Program
-
project topics of interest – visit: https://orise.orau.gov/eif/default.html Questions? Contact ORISE at [email protected] with the subject line: “EIF Program Question”. Application Deadline 10/2/2026
-
and Education (ORISE) participant, you will engage with a community of scientists and researchers focused on advancing computational modeling capabilities within the Health Hazard Assessment (HHA
-
, computational, and immunological tools within an ABSL-2 laboratory environment. You will be mentored in research methodologies aligned with the USDA–ARS mission in animal health and infectious disease. You will
-
security threats. The CDC IPP regulates the importation of infectious biological materials that could cause disease in humans to prevent their introduction and spread into the U.S. The program ensures
-
Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent
-
of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects