Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Carnegie Mellon University
- Forschungszentrum Jülich
- Nanyang Technological University
- University of California Davis
- University of Texas at Dallas
- University of Toronto
- Argonne
- Fraunhofer-Gesellschaft
- Technical University of Munich
- University of Dayton
- University of North Carolina at Chapel Hill
- ;
- California Institute of Technology
- Central China Normal University
- Cold Spring Harbor Laboratory
- Durham University
- ETH Zurich
- Empa
- Free University of Berlin
- IMEC
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Johns Hopkins University
- KINGS COLLEGE LONDON
- KU LEUVEN
- King Abdullah University of Science and Technology
- London School of Economics and Political Science;
- Los Alamos National Laboratory
- Medical Research Council
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Purdue University
- Rutgers University
- Technical University of Denmark
- Temple University
- The Chinese University of Hong Kong
- The Ohio State University
- The University of Edinburgh;
- University of Arkansas
- University of Birmingham
- University of California
- University of California Berkeley
- University of Delaware
- University of Florida
- University of Glasgow
- University of Illinois at Urbana Champaign
- University of Maryland, Baltimore County
- University of Minnesota
- University of North Texas at Dallas
- University of Oxford
- University of Pittsburgh
- University of Trento
- University of Washington
- Washington University in St. Louis
- 46 more »
- « less
-
Field
-
topic Prior programming experience in Python is a must, C++ and CUDA experience are a plus Familiarity with PyTorch and modern deep learning frameworks Experience in training and evaluating computer
-
). You have good experience in Python/Matlab and can learn a new programming language rapidly. Experience with other image processing tools & libraries (e.g. OpenCV, PyQt, CUDA) is a plus. You are used
-
Programming: Python, CUDA, Git
-
for educational uses Good hands-on experience in programming, e.g., C/C++/C#, CUDA, Python, and scripting Track record in research and publication particularly in education Strong knowledge and hands-on experience
-
current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
-
rendering into medical imaging workflows. A major focus will be on accelerating inference and training using GPU-optimised components, including custom CUDA kernels. This role offers a unique opportunity to
-
dynamics (algorithms and current practice). Experience in AI/ML. Experience in application performance optimization. Familiarity with parallel programming models (e.g., OpenMP, MPI, CUDA). Experience
-
current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
-
models Experience with Pytorch, MONAI, CUDA or equivalent software libraries for developing deep learning models. Familiarity with medical image such as MRI, CT, or volumetric ultrasound. Knowledge
-
researchers to integrate computing techniques into research activities using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA An equivalent combination