193 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" research jobs
Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Loyola University
- University of Washington
- National Aeronautics and Space Administration (NASA)
- The University of Chicago
- University of Texas at Arlington
- Brookhaven National Laboratory
- Oak Ridge National Laboratory
- University of Arkansas
- Cornell University
- Zintellect
- U.S. Department of Energy (DOE)
- University of Nevada, Reno
- University of Nevada Las Vegas
- Georgia Southern University
- National Renewable Energy Laboratory NREL
- Texas Christian University
- Johns Hopkins University
- Stanford University
- The Hong Kong Polytechnic University
- University of California Irvine Health
- University of California, Merced
- University of Cincinnati
- University of Colorado
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Pennsylvania
- University of Utah
- Washington State University
- AbbVie
- Auburn University
- Duke University
- East Carolina University
- Hong Kong Polytechnic University
- Indiana University
- Iowa State University
- Missouri University of Science and Technology
- Montana State University
- Pennsylvania State University
- Princeton University
- Rice University
- Rutgers University
- SUNY University at Buffalo
- THE HONG KONG POLYTECHNIC UNIVERSITY
- Temple University
- The University of Iowa
- The University of Memphis
- University of Alabama, Tuscaloosa
- University of California Los Angeles
- University of California Riverside
- University of California San Diego
- University of Florida
- University of Kansas Medical Center
- University of Michigan
- University of St. Thomas
- University of Texas at El Paso
- University of Virginia
- Villanova University
- 47 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
-
U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-EM How to Apply Click on Apply below to start your application. Application Deadline 3/31/2026 8:00:00 AM Eastern Time
-
machine learning. There are currently 54 academic staff and about 105 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
-
. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
-
control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 54 academic staff and about 105 research
-
to learn about combined arms operations Visit to the West Bank to learn about the Palestinian situation and point of view, and Meeting with officers and soldiers involved with Israel's equivalent of the U.S
-
The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial
-
Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
-
; Specify Degree(s): Biological or physical sciences; Minimum Experience: Required: 1-2 years of previous job-related experience Certificates/Credentials/Licenses N/A Computer Skills Proficiency with
-
to efficiently collect/organize/analyze data and initiate new/modified procedures/techniques based on the latest developments are expected. Certificates/Credentials/Licenses n/a Computer Skills General office