Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Inria, the French national research institute for the digital sciences
- University of Glasgow
- Baylor University
- Forschungszentrum Jülich
- University of Texas at Dallas
- University of Vienna
- University of Washington
- Universität Wien
- ;
- Beijing Normal-Hong Kong Baptist University (BNBU)
- Brookhaven National Laboratory
- Durham University
- ETH Zurich
- Humboldt-Stiftung Foundation
- Imperial College London
- Lunds universitet
- SUNY University at Buffalo
- State University of New York University at Albany
- The University of Arizona
- UNIVERSITY OF VIENNA
- Universidade do Algarve
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Cambridge;
- University of Colorado
- University of Illinois at Urbana Champaign
- University of Lund
- University of Massachusetts Boston
- University of Pennsylvania
- University of Sheffield
- Université Côte d'Azur
- Université de Lorraine
- Université de Technologie de Belfort-Montbéliard
- 23 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 4 days ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical
-
device efficiency. There will be an opportunity to learn the tools required for parallel computing using graphical processing units. This will be used to maximise the computational throughput to enable
-
and run-time management of parallel and distributed computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy
-
and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
-
courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer
-
, hackathons, community events) Your Profile: Excellent Master or subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields and industry experience Strong software-engineering
-
State University of New York University at Albany | Albany, New York | United States | about 23 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
-
. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing
-
courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer
-
Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing