Sort by
Refine Your Search
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Cornell University
- Argonne
- Baylor College of Medicine
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- University of Washington
- Yale University
- Rutgers University
- Stanford University
- Carnegie Mellon University
- Duke University
- George Washington University
- Lawrence Berkeley National Laboratory
- New York University
- Texas A&M University
- University of Minnesota
- Boston University
- Indiana University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- SUNY University at Buffalo
- South Dakota Mines
- Stony Brook University
- Texas A&M AgriLife
- University of California Irvine
- University of Florida
- University of New Hampshire
- University of Texas at Arlington
- University of Texas at Dallas
- Broad Institute of MIT and Harvard
- Brookhaven National Laboratory
- California Institute of Technology
- Harvard University
- Johns Hopkins University
- Lehigh University
- Princeton University
- Purdue University
- Rochester Institute of Technology
- Sandia National Laboratories
- Texas A&m Engineering
- The Ohio State University
- The University of Arizona
- The University of Iowa
- Tufts University
- University of Alabama at Birmingham
- University of Arkansas
- University of California
- University of Central Florida
- University of Illinois at Chicago
- University of Massachusetts Chan Medical School
- University of North Texas at Dallas
- University of Pittsburgh
- University of Utah
- University of Virginia
- Villanova University
- Virginia Tech
- Washington State University
- 51 more »
- « less
-
Field
-
computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
-
was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
-
machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
-
, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
-
. Develop algorithms to identify specific seabed characteristics. Conduct independent research related to underwater active acoustics and seabed sensing. Collaborate with researchers from academia, industry
-
profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
-
, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
-
. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large-scale datasets, including UK Biobank (UKBB