Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Argonne
- Northeastern University
- Aalborg University
- Forschungszentrum Jülich
- Max Planck Institute (MPI) for Psycholinguistics
- Stanford University
- Technical University of Denmark
- University of California
- Yale University
- Academia Sinica
- DURHAM UNIVERSITY
- Lawrence Berkeley National Laboratory
- Nature Careers
- Technical University of Munich
- University of Kansas
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- 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
- Lunds universitet
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- 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
- Universite de Montpellier
- University of Antwerp
- University of Lund
- University of Massachusetts Medical School
- University of Turku
- Université Grenoble Alpes
- 42 more »
- « less
-
Field
-
Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 1 month ago
, and two servers, Saraswati and Lakshmi, each with 8 A100 GPUs. Those clusters are in the process of being extended. They are used to run numerical-relativity simulations of gravitational-wave sources
-
reasoning or tool-augmented LLMs, RL (RLHF/RLAIF/online RL), or foundation models for science, Software engineering skills (Python) and experience with modern DL stacks (PyTorch) and multi-GPU training
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours 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
-
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
-
of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a
-
enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU
-
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
-
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
-
, 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
-
. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design