30 parallel-computing-numerical-methods-"https:"-"FAPESP---São-Paulo-Research-Foundation" positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Forschungszentrum Jülich
- CNRS
- Inria, the French national research institute for the digital sciences
- Argonne
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Centrale Lille Institut
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Chalmers University of Technology
- Cranfield University
- DENA DESARROLLOS SL
- Ecole Centrale de Lyon
- IFREMER - Institut Français de Recherche pour l'Exploitation de la MER
- LEM3
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Michigan State University
- Tallinn University of Technology
- UiT The Arctic University of Norway
- Umeå universitet stipendiemodul
- Universitaet Muenster
- University of Arkansas
- University of North Carolina at Chapel Hill
- Université de Lille
- cnrs
- 14 more »
- « less
-
Field
-
of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 10 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
-
opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
-
and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
-
and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
-
associate in the broad areas of high performance computing and machine learning. HighZ is focused on developing scalable high order methods, enhanced with surrogate models for subscale physics, for modeling
-
exploit data and enhance predictive capabilities. Particular attention will be paid to numerical robustness, algorithm stability, and computational efficiency. Experimental work will complement
-
IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 2 days ago
conference will require the PhD candidate to travel during the three years of the doctoral program. Where to apply Website https://www.hellowork.com/fr-fr/emplois/77137231.html Requirements Research
-
, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
-
for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed