Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Aalborg University
- Forschungszentrum Jülich
- Lunds universitet
- Max Planck Institute (MPI) for Psycholinguistics
- Nature Careers
- Technical University of Munich
- University of California
- Academia Sinica
- DURHAM UNIVERSITY
- ICN2
- Lawrence Berkeley National Laboratory
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Denmark
- University of Kansas
- University of Lund
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- Aarhus University
- Brookhaven National Laboratory
- Durham University
- Durham University;
- Embry-Riddle Aeronautical University
- Empa
- Inria, the French national research institute for the digital sciences
- Itä-Suomen yliopisto
- King's College London
- 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
- Northumbria University;
- RIKEN
- Rutgers University
- Sano Centre for Computational Personalized Medicine
- TU Wien
- The University of Arizona
- The University of Edinburgh;
- Universite de Montpellier
- University of Antwerp
- University of Turku
- University of Utah
- Université Grenoble Alpes
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 42 more »
- « less
-
Field
-
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
-
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
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
-
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
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
have access to major national HPC facilities (Grid5000, Jean Zay, GENCI allocations), including large-scale GPU resources. Biomolecular function is driven by both structure and dynamics. Understanding
-
frameworks like PyTorch, Hugging Face, sklearn, tensorflow. Excellent verbal and written communication skills Experience with GPU training and handling large medical datasets e.g., large magnetic resonance
-
. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
translation models and medical images analysis are considered important assets. Established expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image
-
simulation frameworks or HPC/GPU-accelerated ML. Proficiency in scientific software development (Python/ML stack, MATLAB for wireless simulation, reproducible workflows, version control). Strong publication
-
exposing hardware accelerators, such as GPUs and FPGAs, in a seamless and portable way. This includes designing execution logic and resource-scheduling strategies that make efficient use of available