Sort by
Refine Your Search
-
Listed
-
Employer
- DePaul University
- Stanford University
- University of North Carolina at Chapel Hill
- Argonne
- Oak Ridge National Laboratory
- SUNY University at Buffalo
- University of Central Florida
- University of Minnesota
- Duke University
- Indiana University
- Los Alamos National Laboratory
- Pennsylvania State University
- Stony Brook University
- Texas A&M University
- University of California Davis
- University of Massachusetts
- University of Oklahoma
- University of Virginia
- University of Washington
- 9 more »
- « less
-
Field
-
. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
-
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
-
: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
-
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
-
data pipelines Comply with data security guidelines Data analysis (25%) Data reduction of predictor and outcome measures Determine and implement optimal strategies for testing multiple hypotheses Utilize
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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 | 2 days 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
-
Campus Open Date Oct 29, 2024 Description We are seeking multiple (3~4) highly motivated and collaborative Postdoctoral Research Associates with demonstrated skills in one or multiple areas
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g