Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Argonne
- Northeastern University
- University of North Carolina at Chapel Hill
- Aalborg University
- Forschungszentrum Jülich
- Max Planck Institute (MPI) for Psycholinguistics
- Nature Careers
- Stanford University
- Technical University of Denmark
- University of California
- Yale University
- Academia Sinica
- DURHAM UNIVERSITY
- Lawrence Berkeley National Laboratory
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Technical University of Munich
- University of Kansas
- University of New Hampshire – Main Campus
- 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
- 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
- Universite de Montpellier
- University of Antwerp
- University of Massachusetts Medical School
- University of Turku
- Université Grenoble Alpes
- 40 more »
- « less
-
Field
-
the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
-
developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
-
, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
NASA's 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
-
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
-
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
-
Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 26 days 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
-
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
-
astrophysical free boundaries. Responsibilities include running high-resolution GPU-accelerated simulations on exascale computing systems, developing and applying geometric measure theory tools to quantify