Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Oak Ridge National Laboratory
- Stony Brook University
- University of California
- Princeton University
- University of Washington
- Lawrence Berkeley National Laboratory
- Pennsylvania State University
- SUNY University at Buffalo
- University of Michigan
- Duke University
- Nature Careers
- Northeastern University
- Rutgers University
- The University of Arizona
- University of California, Merced
- University of Texas at Austin
- University of Utah
- Zintellect
- Argonne
- Brookhaven National Laboratory
- Cornell University
- NIST
- University of Houston Central Campus
- University of North Carolina at Chapel Hill
- University of Texas at El Paso
- Arizona State University
- Barry University
- Brookhaven Lab
- California Institute of Technology
- Caltech
- Carnegie Mellon University
- Colorado State University
- Columbia University
- Dana-Farber Cancer Institute
- Drexel University
- East Tennessee State University
- Indiana University
- Marquette University
- Michigan State University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- Purdue University
- Simons Foundation/Flatiron Institute
- Stanford University
- Texas A&M University
- The California State University
- The University of Alabama
- The University of North Carolina at Chapel Hill
- University at Buffalo
- University of Alabama at Birmingham
- University of Alabama, Tuscaloosa
- University of California, San Diego
- University of Cincinnati
- University of Dayton
- University of Florida
- University of Illinois at Urbana Champaign
- University of Kentucky
- University of Minnesota
- University of Nebraska–Lincoln
- University of Pennsylvania
- Washington State University
- Washington University in St. Louis
- Yale University
- 54 more »
- « less
-
Field
-
machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software
-
Required Skills: Current or planned MS or PhD student at the University in CS or related field. Solid background and working knowledge of computer science fundamentals including algorithms, data structures
-
architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
-
multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
-
methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
-
promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
-
Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
-
algorithms and parallel/distributed variational algorithms in AI/ML for application workflows and large-scale HPC and QC systems Develop quantum machine learning (QML) algorithms for optimization of multi
-
distributed quantum computing. The center includes other quantum faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity
-
through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning