228 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs
Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Loyola University
- Brookhaven National Laboratory
- University of Washington
- Oak Ridge National Laboratory
- The University of Chicago
- National Aeronautics and Space Administration (NASA)
- U.S. Department of Energy (DOE)
- University of Arkansas
- Zintellect
- University of Texas at Arlington
- Cornell University
- University of California Los Angeles
- University of Nevada, Reno
- University of Alabama, Tuscaloosa
- University of Nevada Las Vegas
- Georgia Southern University
- Johns Hopkins University
- Stanford University
- University of Florida
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Pennsylvania
- Georgetown University
- National Renewable Energy Laboratory NREL
- Oregon State University
- Princeton University
- SUNY Polytechnic Institute
- University of California Irvine Health
- University of California, Merced
- University of Michigan
- University of St. Thomas
- University of Texas at El Paso
- University of Utah
- AbbVie
- Argonne
- Auburn University
- Bucknell University
- Central Michigan University
- Columbia University
- Duke University
- Iowa State University
- Missouri University of Science and Technology
- Montana State University
- New York University
- Pennsylvania State University
- Rice University
- SUNY University at Buffalo
- Syracuse University
- Temple University
- Texas A&M University
- Texas Christian University
- The Hong Kong Polytechnic University
- The University of Memphis
- University of California Riverside
- University of California, Los Angeles
- University of Cincinnati
- University of Colorado
- University of Nebraska–Lincoln
- University of Virginia
- Villanova University
- Washington State University
- 51 more »
- « less
-
Field
-
learning, discovery and personal growth. The University is accredited by the Southern Association of Colleges and Schools and has earned special accreditation from professional and academic associations
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor
-
, the participant will learn HPC computing technologies and techniques in genomic epidemiology and machine learning to quantify drivers of IAV evolution in swine using data generated from IAV surveillance in human
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
of radiance data from new hyperspectral infrared instruments such as IASI-NG, MTG-IRS Enhancement of CrIS radiance assimilation algorithm are highly encouraged. - Use machine learning methods to cope with model
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
-
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
-
Organization U.S. Department of Defense (DOD) Reference Code USAMRDC-MRIID-2026-0004 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description
-
of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event