Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, and dissemination of research through peer-reviewed publications (5%). •Perform additional duties as assigned by the Director of the Vegetable and Fruit Improvement Center (25%). Required Qualifications
-
, and dissemination of research through peer-reviewed publications (5%). •Perform additional duties as assigned by the Director of the Vegetable and Fruit Improvement Center (25%). Required Qualifications
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC -Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and
-
, computer science. Experience in data analysis using statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data
-
, computer science. Experience in data analysis using statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
reason why Carolina is one of the leading public research institutions in the country. UNC -Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
-
., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning
-
, sitting, walking, talking, seeing, and hearing. Manual dexterity and vision sufficient for standard laboratory operations. Requires computer data input and analysis. WORK ENVIRONMENT : Laboratory
-
Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
-
precipitation patterns with hydrologic and hydraulic models to quantify potential future flood impacts in the study watersheds. The project is supported by the Department of Energy Resiliency Center