Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- Forschungszentrum Jülich
- CNRS
- FAPESP - São Paulo Research Foundation
- IMEC
- LINKS Foundation - Leading Innovation & Knowledge for Society
- Northeastern University
- Oak Ridge National Laboratory
- Singapore-MIT Alliance for Research and Technology
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universidad Politecnica de Cartagena
- University of Oslo
- University of Utah
- 2 more »
- « less
-
Field
-
hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
-
software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers