Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- Nature Careers
- Technical University of Munich
- European Space Agency
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Technical University of Denmark
- Yale University
- Brookhaven Lab
- Duke University
- Durham University
- Embry-Riddle Aeronautical University
- European Magnetism Association EMA
- Georgia State University
- Harvard University
- Heriot Watt University
- NEW YORK UNIVERSITY ABU DHABI
- Northeastern University
- Oak Ridge National Laboratory
- Stony Brook University
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Houston Central Campus
- University of Lund
- University of Minnesota
- University of Minnesota Twin Cities
- University of North Texas at Dallas
- University of South Carolina
- University of Texas at Arlington
- VIB
- 23 more »
- « less
-
Field
-
in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
-
package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https
-
conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud
-
in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
-
, with PyTorch and/or other GPU programming tools is also necessary. You should have completed all requirements for your PhD by the time you are hired. How to Apply: Candidates who have most, but not all
-
conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our
-
DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs. Essential Duties And Responsibilities Conduct research in ML, LLMs
-
part of a degree program. In particular, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision
-
optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum