Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- University of Central Florida
- DePaul University
- Stanford University
- Oak Ridge National Laboratory
- Argonne
- Stony Brook University
- Duke University
- Los Alamos National Laboratory
- Pennsylvania State University
- Texas A&M University
- University of Massachusetts
- University of Miami
- University of Oklahoma
- University of Texas at Arlington
- University of Virginia
- University of Washington
- 7 more »
- « less
-
Field
-
approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
-
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
-
the readout manufacturer to adapt and refine the high-speed readout electronics and synchronization system for efficient electron detection. Implement and test real-time processing algorithms for high
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
-
PV inverters), synchronous generators, loads, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
-
. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and