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
- Le Mans Université
- 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 Colorado
- University of North Carolina at Chapel Hill
- Université de Lille
- Université de Montpellier
- cnrs
- 17 more »
- « less
-
Field
-
areas requires very fine meshes (105 to 106 computational points). This entails considerable CPU and data treatment/storage costs. These issues can be alleviated by using scale transfer methods
-
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 | 18 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
-
30 Apr 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not
-
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
-
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