Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- University of California
- Carnegie Mellon University
- Nanyang Technological University
- Northeastern University
- University of Texas at Dallas
- California Institute of Technology
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Inria, the French national research institute for the digital sciences
- Johns Hopkins University
- Medical Research Council
- Nature Careers
- Universidade de Coimbra
- University of Alabama, Tuscaloosa
- University of Minnesota
- DURHAM UNIVERSITY
- Delft University of Technology (TU Delft)
- Durham University
- Fraunhofer-Gesellschaft
- IMEC
- Lawrence Berkeley National Laboratory
- Purdue University
- Temple University
- The University of Alabama
- University of California Davis
- University of Cincinnati
- University of Florida
- University of North Carolina at Chapel Hill
- University of Toronto
- University of Washington
- Argonne
- Brookhaven National Laboratory
- Central China Normal University
- DAAD
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- ETH Zurich
- Empa
- Forschungszentrum Jülich
- Imperial College London;
- Instituto Superior Técnico
- Instituto de Sistemas e Robótica (ISR)
- KU LEUVEN
- London School of Economics and Political Science;
- Lunds universitet
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- North Carolina State University
- Plymouth University
- RMIT University
- Rutgers University
- Technical University of Denmark
- Technical University of Munich
- The Chinese University of Hong Kong
- The University of Arizona
- The University of Edinburgh;
- The University of Queensland
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Birmingham
- University of California Berkeley
- University of California, Berkeley
- University of Dayton
- University of Delaware
- University of Illinois at Urbana Champaign
- University of Lund
- University of Oxford
- University of Plymouth;
- University of Trento
- 58 more »
- « less
-
Field
-
and/or optimisation; programming in C/C++, CUDA, etc., and software development and integration will also be valued. I.II - The non-degree-granting course must be related to the type of activity covered
-
shaping and imaging Proficiency in GPU programming (CUDA/OpenCL) and strong coding skills in C/C++ and Python Practical experience with Spatial Light Modulators (SLMs) and wavefront shaping techniques Solid
-
, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Preferred Qualifications: Familiarity with advanced storage
-
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
-
performance. Strong programming ability in C++ and python. CUDA knowledge is considered a plus. Your communication and interpersonal skills enable you to work in a dynamic, distributed team. You actively share
-
. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
programming (MPI, OpenMP, CUDA). Understanding of seismic workflows (modeling, FWI, RTM). This will be facilitated by collaborating with members of Makutu team. The expected deliverables are : Prototype hybrid
-
software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking
-
the core computing languages necessary for machine learning and high-performance computing, including C++, Python and CUDA Knowledge of machine learning, high performance computing and data science Excellent
-
? experience as above in clinical NLP. Experience in CUDA GPU programming. Experience authoring open-source Python packages in PyPI. Experience in open-source project governance. Experience in open-source