Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- CNRS
- Nature Careers
- Northeastern University
- Aalborg University
- Forschungszentrum Jülich
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Munich
- University of California
- University of Lund
- Academia Sinica
- ICN2
- Lawrence Berkeley National Laboratory
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Denmark
- University of Kansas
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- Yale University
- AI4I
- Brookhaven National Laboratory
- Chalmers University of Technology
- DURHAM UNIVERSITY
- Durham University
- Embry-Riddle Aeronautical University
- Empa
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Itä-Suomen yliopisto
- KINGS COLLEGE LONDON
- 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
- 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 Miami
- University of Turku
- University of Utah
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 44 more »
- « less
-
Field
-
tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
-
. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
-
expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image processing tools would be appreciated. A strong track record of publications in high
-
disease insights. The lab has state-of-the-art computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224
-
datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
-
models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
-
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
-
(including NVIDIA B300 GPUs) Funding for open-access publications and conference participation Support in developing your own research proposals Employee benefits: EGYM Wellpass, corporate discounts (e.g
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months 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
-
-dependent approaches. -Proficiency in high-performance computing (MPI/OpenMP/GPU) and scientific code development is a plus. -Interest in attoscience and/or matter–antimatter physics is an asset. -Ability