Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Forschungszentrum Jülich
- Max Planck Institute (MPI) for Psycholinguistics
- Nature Careers
- Northeastern University
- Technical University of Denmark
- University of California
- Yale University
- Academia Sinica
- DURHAM UNIVERSITY
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Stanford University
- Technical University of Munich
- University of Kansas
- CNRS
- Chalmers University of Technology
- Durham University
- Durham University;
- Embry-Riddle Aeronautical University
- Empa
- European Space Agency
- Georgia State University
- ICN2
- INESC ID
- KINGS COLLEGE LONDON
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- McGill University
- New York University
- Northumbria University;
- RIKEN
- Reykjavik University
- Sano Centre for Computational Personalized Medicine
- The University of Edinburgh;
- The University of North Carolina at Chapel Hill
- University of Antwerp
- University of Houston Central Campus
- University of Massachusetts Medical School
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Turku
- Université Grenoble Alpes
- 40 more »
- « less
-
Field
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers
-
Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
-
, mathematical sciences, or applied mathematics/engineering, and who are motivated to engage in AI research in earnest. We also welcome applicants with the following experience: - Operation and use of GPU-based
-
managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
-
astrophysical free boundaries. Responsibilities include running high-resolution GPU-accelerated simulations on exascale computing systems, developing and applying geometric measure theory tools to quantify
-
fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family-friendly, green campus with on-site kindergarten Ample training
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory experiments (in the Joint Fluids Lab at UNC), analyze results, publish in peer-reviewed journals
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
hold a PhD or equivalent degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly
-
algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
-
RTDS. Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs). Excellent written and oral communication skills. Motivated self-starter with