226 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
- Cornell University
- University of California Los Angeles
- University of Nevada, Reno
- University of Texas at Arlington
- University of Alabama, Tuscaloosa
- University of Nevada Las Vegas
- Georgia Southern University
- Johns Hopkins University
- Stanford University
- University of California Irvine Health
- University of Florida
- 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 Riverside
- University of California, Merced
- University of Michigan
- University of Minnesota
- University of St. Thomas
- University of Texas at El Paso
- University of Utah
- AbbVie
- Argonne
- Auburn University
- Bucknell University
- Central Michigan University
- Columbia 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, Los Angeles
- University of Cincinnati
- University of Colorado
- University of Nebraska–Lincoln
- University of Virginia
- Villanova University
- Washington State University
- 50 more »
- « less
-
Field
-
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
-
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
-
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
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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
-
, 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
-
veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 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
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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
-
. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We expect you to be able
-
Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-RPP-2025-Fall-MEF-Postgrad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO! Download