Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Carnegie Mellon University
- University of Washington
- Princeton University
- Stanford University
- Argonne
- National Aeronautics and Space Administration (NASA)
- University of Utah
- Washington University in St. Louis
- Axoniverse
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Cornell University
- Dartmouth College
- Episteme
- Georgia Institute of Technology
- Nature Careers
- Northeastern University
- Northwestern University
- SUNY Polytechnic Institute
- Texas A&M AgriLife
- University of Florida
- University of Maryland, Baltimore
- University of Miami
- University of Minnesota
- Zintellect
- 16 more »
- « less
-
Field
-
Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports, and
-
National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 1 hour ago
) 998-4606 Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries
-
-modal data (e.g., single-cell RNA sequencing, spatial omics) to uncover new insights into cancer biology and therapy. Algorithm Development: Create and refine algorithms for predictive modeling, biomarker
-
machine learning, statistics, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a
-
: Computational Sciences / Bio-computing Appl Deadline: (posted 2025/11/10, listed until 2025/11/30) Position Description: Apply 2025/11/30 11:59PM Position Description As a computing researcher, you will be
-
members Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous
-
, and improve prediction accuracy - develop Machine Learning and AI algorithms for crop management, yield predictions and decision support systems - prepare manuscripts for peer-reviewed publications
-
leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
-
structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
-
Number: JR91414 Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports