Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Texas A&M University
- Brookhaven Lab
- Stony Brook University
- University of Maryland, Baltimore
- University of Washington
- Pennsylvania State University
- The Ohio State University
- The University of Arizona
- University of Houston Central Campus
- DePaul University
- University of Central Florida
- University of Minnesota
- Virginia Tech
- Baylor College of Medicine
- Indiana University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Nature Careers
- New York University
- Northeastern University
- SUNY University at Buffalo
- University of California, Merced
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern California
- University of Texas at Arlington
- University of Virginia
- Washington University in St. Louis
- Yale University
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Cornell University
- Duke University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Harvard University
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Michigan Technological University
- Ohio University
- Purdue University
- Texas A&M AgriLife
- Texas A&m Engineering
- University of California
- University of California Irvine
- University of Delaware
- University of Florida
- University of Kansas
- University of Massachusetts
- University of Notre Dame
- University of Texas at Dallas
- 45 more »
- « less
-
Field
-
Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
-
Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
-
be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
-
a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates
-
A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. This position will involve developing X-ray coherent scattering imaging techniques
-
. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
-
advanced automated machine startup and commissioning tools. What You Will Do: Conduct pioneering research in the development and application of machine learning algorithms for accelerator physics
-
learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our