Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- Cornell University
- Duke University
- University of Washington
- Boise State University
- Loyola University
- Nature Careers
- SUNY Polytechnic Institute
- New York University
- Pennsylvania State University
- U.S. Department of Energy (DOE)
- University of Minnesota
- University of Nevada Las Vegas
- University of South Carolina
- Argonne
- George Washington University
- Indiana University
- National Renewable Energy Laboratory NREL
- Northeastern University
- University of California Berkeley
- Washington University in St. Louis
- Yale University
- Baylor College of Medicine
- Boston University
- Broad Institute of MIT and Harvard
- Episteme
- Florida Atlantic University
- Georgia Institute of Technology
- Harvard University
- Illinois Institute of Technology
- Iowa State University
- LIGO Laboratory
- Los Alamos National Laboratory
- Massachusetts Institute of Technology
- North Carolina State University
- Rutgers University
- The University of Iowa
- The University of North Carolina at Chapel Hill
- University of Arkansas
- University of California San Diego
- University of California, Berkeley
- University of California, Merced
- University of California, San Diego
- University of Colorado
- University of Florida
- University of Kansas Medical Center
- University of Kentucky
- University of North Carolina Wilmington
- University of Oregon
- University of Texas at Dallas
- University of Utah
- Vanderbilt University
- 43 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
-
modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho
-
systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
-
of the postdoctoral scholars. https://postdoc.ucsd.edu/postdocs/px-contract.html Qualifications Basic qualifications (required at time of application) Doctorate degree or equivalent terminal degree in Engineering
-
by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
-
Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
-
and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been
-
subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
-
Implement Workers of America (UAW) is the exclusive representative of the postdoctoral scholars. https://postdoc.ucsd.edu/postdocs/px-contract.html Qualifications Basic qualifications (required at time of
-
management and planning skills; strong problem-solving and organizational skills; strong computer experience with Microsoft Office suite; and experience with or willingness to learn new laboratory management