Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- Duke University
- University of Minnesota
- Wayne State University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Argonne
- Cornell University
- Harvard University
- New York University
- Northeastern University
- The Ohio State University
- University of Florida
- University of Miami
- University of Washington
- Yale University
- Baylor College of Medicine
- Carnegie Mellon University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- Stony Brook University
- The University of Iowa
- University of Texas at Arlington
- Baylor University
- Texas A&M AgriLife
- Texas A&M University
- U.S. Department of Energy (DOE)
- University of California
- Virginia Tech
- Broad Institute of MIT and Harvard
- East Carolina University
- Indiana University
- Lehigh University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Research Center for Molecular Medicine (CeMM), ÖAW
- South Dakota Mines
- Texas A&m Engineering
- The University of Arizona
- University of California Berkeley
- University of California Irvine
- University of Illinois at Chicago
- University of Maryland, Baltimore
- University of Massachusetts Chan Medical School
- University of Nebraska Medical Center
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of South Carolina
- University of Southern California
- University of Virginia
- Washington University in St. Louis
- 43 more »
- « less
-
Field
-
computational research; superior oral and written communication skills; experience with scientific publication; excellent interpersonal communication; demonstrated expertise in deep learning, preferably as
-
. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
-
join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
-
cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
-
(including neural quantum states), stabilizer and near-Clifford simulation, Gaussian/free-fermion methods, open-system dynamics (Lindblad master equations). - Machine learning for physical systems: deep
-
programming ability in Python, and practical experience with a modern deep learning framework such as PyTorch. Experience working with 3D data in some form: volumetric images, meshes, point clouds, or geometric
-
deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data Development and validation
-
of experience within the field. Scientific and numerical programming in Python or R and knowledge of class ML methods and deep learning methods. Well versed in a variety of bioinformatic analyses, including Next
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
-
processes. Ensure consistency and accuracy across imaging datasets and labeling workflows. Machine Learning & Model Development Support the design, development, and optimization of machine learning and deep