Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Stanford University
- Nature Careers
- SUNY Polytechnic Institute
- University of Minnesota
- Brookhaven National Laboratory
- Northeastern University
- The University of Iowa
- The University of North Carolina at Chapel Hill
- University of California Berkeley
- University of Florida
- Argonne
- Cornell University
- Indiana University
- New York University
- Pennsylvania State University
- Princeton University
- Rutgers University
- The Ohio State University
- U.S. Department of Energy (DOE)
- University of Colorado
- University of Texas at Arlington
- Brown University
- Carnegie Mellon University
- Episteme
- Harvard University
- Johns Hopkins University
- SUNY University at Buffalo
- Sandia National Laboratories
- South Dakota Mines
- Tufts University
- University of Illinois at Urbana Champaign
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of Oregon
- University of Texas at Tyler
- University of Utah
- University of Washington
- 28 more »
- « less
-
Field
-
of Neurology (https://movementdisorderslab.umn.edu/ ). The postdoctoral researcher will be involved in the execution of experiments examining the effects of globus pallidus deep brain stimulation on motor and
-
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
-
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
-
. Candidates with experience in dimension reduction, deep learning, machine learning, modeling neuroimaging data are especially encouraged to apply. Excellent written and communication skills are required
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 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
-
of neuroplasticity and brain homeostasis is one area of deep focus (Monje et al, 2002, Nature Medicine, Monje et al, 2003, Science, Monje et al, 2007, Annals of Neurology, Gibson et al., 2019 Cell). The regulation
-
associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
-
applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA