Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- Stony Brook University
- Texas A&M University
- University of Central Florida
- University of Maryland, Baltimore
- University of Washington
- DePaul University
- Pennsylvania State University
- The Ohio State University
- The University of Arizona
- Baylor College of Medicine
- Northeastern University
- University of Houston Central Campus
- University of Minnesota
- Virginia Tech
- Carnegie Mellon University
- Indiana University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Nature Careers
- University of California, Merced
- University of Kansas
- 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
- Iowa State University
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Louisiana State University
- Michigan Technological University
- New York University
- Purdue University
- SUNY University at Buffalo
- Texas A&m Engineering
- University of California
- University of California Irvine
- University of Colorado
- University of Delaware
- University of Florida
- University of Massachusetts
- University of Notre Dame
- University of Texas at Dallas
- 47 more »
- « less
-
Field
-
vision for higher education, research, and public service. Purpose The Postdoctoral Researcher will develop algorithms for speech anonymization in real time. The applicant should have strong background in
-
data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with organizing large scale multimodal neuroimaging datasets, brain
-
Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
-
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
-
A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. The postdoctoral appointee will develop ultrafast microscale photonics and MEMS
-
within the last 0-5 years) in computational science, mathematics, physics, or a related field with a focus on image processing. Proven experience in algorithm and software development. Expertise in Python
-
position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
-
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
-
. 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