Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- Stanford University
- Nature Careers
- Stony Brook University
- Duke University
- Carnegie Mellon University
- Cornell University
- University of Miami
- SUNY Polytechnic Institute
- University of Minnesota
- Brookhaven National Laboratory
- Northeastern University
- Oak Ridge National Laboratory
- South Dakota Mines
- The Ohio State University
- The University of Iowa
- The University of North Carolina at Chapel Hill
- U.S. Department of Energy (DOE)
- University of California Berkeley
- University of Washington
- Baylor College of Medicine
- Harvard University
- Indiana University
- New York University
- Pennsylvania State University
- Princeton University
- University of Colorado
- University of Texas at Arlington
- Episteme
- Johns Hopkins University
- Kennesaw State University
- Lawrence Berkeley National Laboratory
- Purdue University
- Rutgers University
- SUNY University at Buffalo
- Sandia National Laboratories
- Texas A&M University
- Texas A&m Engineering
- Tufts University
- University of California
- University of California, Berkeley
- University of Central Florida
- University of Illinois at Urbana Champaign
- University of Maryland, Baltimore
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Oregon
- University of Texas at Tyler
- University of Utah
- Virginia Tech
- 44 more »
- « less
-
Field
-
learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
-
particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio
-
-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs. The role Develop deep learning models across genome
-
diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et
-
discipline Strong experience in integrating several of the following components: Deep learning and LLMs for molecular biology Vision foundation models for pathological image analysis Multi-omics datasets (e.g
-
using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
-
Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred. Create a Job Match for
-
modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical signal and array processing. Topics of specific
-
partners, or translational research teams. Experience with Quarto, Python, and/or other programming languages. Experience and interest in data science or informatics education. Experience with deep learning