Sort by
Refine Your Search
-
Research Topics: Please visit the ORISE ODNI Research Participation Program website to review the 2026 IC Postdoctoral Program Research Topics. When completing your application, there will be designated
-
the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
-
-ARS Ornamental Research Program in Miami, FL. The fellow will participate in a team effort to maintain and characterize Ornamental Genetic Resources (OGRs) by discovering molecular resources using
-
affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With
-
Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome
-
businesses to develop new technologies that enhance the nutritional and functional qualities of plant-derived foods and to develop novel methods to detect contaminants and contents in foods that affect food
-
the production, value, and safety of pecan, peach, nectarine, and plum crops. The postdoctoral fellow will help in implementing experiments to develop novel methods of controlling economically important pests
-
, the nation's leading institution for medical biological defense. By joining this program, you will: Gain hands-on experience: Participate directly in high-containment BSL-3 and BSL-4 laboratories, utilizing
-
annually. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE
-
breeding and molecular biology. Learning Objectives: As a result of this experience, the participant will: Learn methods to conduct transformation of sugarcane, Learn genomics, bioinformatic methods