Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Oak Ridge National Laboratory
- University of Washington
- Carnegie Mellon University
- Harvard University
- Stanford University
- Stony Brook University
- University of North Carolina at Chapel Hill
- DePaul University
- George Washington University
- Marquette University
- Nature Careers
- The Ohio State University
- The University of Arizona
- The University of Chicago
- University of Central Florida
- University of Texas at Austin
- AbbVie
- Argonne
- Dana-Farber Cancer Institute
- Eastern Kentucky University
- Florida Atlantic University
- Florida International University
- George Mason University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Pennsylvania State University
- Simons Foundation/Flatiron Institute
- Texas A&M University
- The Chinese University of Hong Kong
- University of Alabama at Birmingham
- University of California Berkeley
- University of Maryland, Baltimore
- University of Massachusetts
- University of Michigan
- University of Michigan - Ann Arbor
- University of Oklahoma
- Zintellect
- 28 more »
- « less
-
Field
-
research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
-
algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel
-
. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and remodeling. We employ advanced computational and theoretical techniques, such as
-
. We have multiple NIH-funded projects to study the influence of FDA-approved GLP-1R agonists on drug seeking and reinstatement in rodents. A newly funded NIH R01 has the goal to determine who may be
-
provide insights into comparative physiology across different species. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and
-
atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges, including global cloud
-
leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
-
developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
-
Requisition Id 15448 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large
-
scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing