Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- National Aeronautics and Space Administration (NASA)
- Brookhaven Lab
- Pennsylvania State University
- The University of Arizona
- Stony Brook University
- Texas A&M University
- The Ohio State University
- University of Central Florida
- University of Maryland, Baltimore
- University of Washington
- Cornell University
- DePaul University
- Baylor College of Medicine
- Indiana University
- Northeastern University
- University of Houston Central Campus
- University of Minnesota
- Virginia Tech
- Yale University
- Carnegie Mellon University
- Harvard University
- National Renewable Energy Laboratory NREL
- Nature Careers
- New York University
- Purdue University
- University of California, Merced
- University of Colorado
- 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
- Boston University
- Broad Institute of MIT and Harvard
- California Institute of Technology
- Cold Spring Harbor Laboratory
- Duke University
- Hanyang University
- Iowa State University
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Louisiana State University
- Michigan Technological University
- Princeton University
- SUNY University at Buffalo
- Shanghai Jiao Tong University
- Texas A&m Engineering
- The University of Chicago
- The University of Iowa
- University of Arizona
- University of California
- University of California Irvine
- University of Dayton
- University of Delaware
- University of Illinois at Chicago
- University of Massachusetts
- University of Miami
- University of New Hampshire – Main Campus
- University of Notre Dame
- University of South Carolina
- University of Texas at Dallas
- 57 more »
- « less
-
Field
-
embedded network models tailored to infrastructure systems. This will include innovating in the modeling of spatial networks, developing advanced algorithms for network optimization, and incorporating
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months 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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours 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
-
a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter
-
algorithms and models to multimodal data (unstructured and structured text, knowledge graph, etc) Design and conduct experiments to test hypotheses with applied statistics Analyze and interpret results
-
. His expertise includes: Developing novel deep learning and machine learning algorithms for biomedical and health applications. Applying responsible AI principles to ensure privacy-aware and
-
quality algorithms and products (e.g., temperature, turbidity, chlorophyll-a) while developing novel methodologies to advance research on short- and long-term water quality conditions. Approaches may
-
. Implement, adapt, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and
-
and relevant data analysis. • Demonstrated experience in Python programming. • Knowledge of machine-learning algorithms. Additional Information: BNL policy requires that after obtaining a PhD
-
learning field. Excellent programming and computer science skills. Preferred Knowledge, Skills, And Abilities Practical experience developing novel ML, LLM, or CV algorithms and models. Experience with state