Sort by
Refine Your Search
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Stanford University
- Yale University
- Bowdoin College
- Northeastern University
- Cornell University
- Duke University
- Pennsylvania State University
- SUNY University at Buffalo
- The Ohio State University
- University of North Carolina at Chapel Hill
- Baylor College of Medicine
- Harvard University
- National Energy Technology Laboratory (NETL)
- Texas A&M AgriLife
- The University of Arizona
- University of Florida
- University of Washington
- Carnegie Mellon University
- Lehigh University
- Massachusetts Institute of Technology
- Texas A&M University
- University of Illinois Chicago
- University of Minnesota
- University of North Texas at Dallas
- University of South Carolina
- Virginia Tech
- Brookhaven National Laboratory
- Helmholtz Association of German Research Centres
- Iowa State University
- Lawrence Berkeley National Laboratory
- New York University
- Princeton University
- U.S. Department of Energy (DOE)
- University of Arkansas
- University of California Irvine
- University of Central Florida
- University of Illinois
- University of Nebraska Medical Center
- Arizona State University
- California Institute of Technology
- Georgetown University
- Indiana University
- Michigan Technological University
- Montana State University
- National Aeronautics and Space Administration (NASA)
- Purdue University
- Rice Uinversity Department of Bioengineering
- Rice University
- Rochester Institute of Technology
- Rutgers University
- Sandia National Laboratories
- Stony Brook University
- Texas A&m Engineering
- The University of Iowa
- Tufts University
- University of California
- University of California, San Diego
- University of Colorado
- University of Idaho
- University of Illinois at Chicago
- University of Kansas Medical Center
- University of Maryland Baltimore County
- University of New Mexico
- University of Oregon
- University of Utah
- University of Vermont
- Yeshiva University
- Zintellect
- 60 more »
- « less
-
Field
-
, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural materials
-
artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 19 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic
-
) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
-
harassment/misconduct disclosures, and employment eligibility review through E-Verify. The university provides accommodations to applicants and employees. Request an Accommodation Artificial Intelligence (AI
-
assay development. Research areas include investigating the regulation of streptococcal peptide systems, applying artificial intelligence approaches to design novel antimicrobial peptides targeting
-
platforms a plus Experience applying machine learning, artificial intelligence, and large language models to research a plus The anticipated start date is September 1, 2026. The postdoctoral position incoming
-
National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 16 hours ago
of Yuhua Duan. This project will be hosted at the NETL Pittsburgh, PA campus. Although material modeling with artificial Intelligence/machine learning (AI/ML) applications and experimental instrumental
-
at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
-
–experiment (ModEx) approach accelerated by artificial intelligence (AI) to advance predictive understanding of how plant–microbial–soil interactions vary across inundation and salinity gradients to shape