Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- CNRS
- Nature Careers
- Nanyang Technological University
- Northeastern University
- University of California
- Aalborg University
- Argonne
- California Institute of Technology
- KINGS COLLEGE LONDON
- Lawrence Berkeley National Laboratory
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Academia Sinica
- DURHAM UNIVERSITY
- ICN2
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- National University of Singapore
- Princeton University
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Denmark
- Technical University of Munich
- University of Kansas
- University of Lund
- University of Michigan
- University of New Hampshire – Main Campus
- University of Oslo
- University of Texas at Austin
- AI4I
- Aarhus University
- Brookhaven National Laboratory
- Durham University
- Durham University;
- Embry-Riddle Aeronautical University
- Empa
- IMEC
- Inria, the French national research institute for the digital sciences
- Itä-Suomen yliopisto
- Jane Street Capital
- King's College London
- La Rochelle Université
- Luxembourg Institute of Health
- 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
- National Renewable Energy Laboratory NREL
- RIKEN
- Rutgers University
- Sano Centre for Computational Personalized Medicine
- Simons Foundation
- TU Wien
- The University of Arizona
- The University of Edinburgh;
- Universite de Montpellier
- University of Antwerp
- University of Birmingham
- University of Exeter
- University of Helsinki
- University of Luxembourg
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Minho
- University of North Carolina at Chapel Hill
- University of Turku
- University of Utah
- Université Catholique de Louvain (UCL)
- Université Grenoble Alpes
- Vrije Universiteit Amsterdam
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 66 more »
- « less
-
Field
-
FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
-
time steps, will be explored. For these two projects, the GPU-based version of SCHISM under development will also be tested. Type of recruitment 12-month postdoctoral contract based in La Rochelle (17
-
of today’s heterogeneous hardware (multicore CPUs, GPUs, SmartNICs, disaggregated datacenters). We explore: SmartNICs & P4 switches for offloading intelligence from hosts Device-to-device communication
-
algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters
-
and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
-
part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
-
programming in C++ and Python. - Mandatory mastery of GPU programming (CUDA) for optimization. - Experience with Deep Learning frameworks (PyTorch). - Knowledge of the AliceVision architecture is a major asset
-
- Knowledge and experience with Python, Fortran and/or GPU computing - HPC and parallel libraries such as OpenMP and MPI - HPC parallel IO libraries such as HDF5 or NetCDF - Experience with supercomputer tools
-
, with proficiency in Python and deep learning frameworks like PyTorch, Hugging Face, sklearn, tensorflow. Excellent verbal and written communication skills Experience with GPU training and handling large
-
will benefit from the Jean Zay supercomputer to perform intensive GPU calculations but also MARBEC/LIRMM GPU shared resources (https://umr-marbec.fr/recherche/dispositifs-de-recherche/den/ ). His/her