Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Ecole Centrale de Lyon
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Aix-Marseille Université
- CEA-IBS
- European Synchrotron Radiation Facility
- LEM3
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- cnrs
- Centrale Lille Institut
- Centrale Supelec
- INERIS
- Nantes Université
- ONERA
- Sorbonne Université, CNRS, Inserm
- Universite de Montpellier
- Université Gustave Eiffel
- Université de Poitiers
- 9 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 13 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
-
enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi-cultural and multi-disciplinary research team
-
2026 - 12:00 (Europe/Paris) Country France Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Futuroscope site
-
al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
-
) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context and Objective Wire and Arc Additive manufacturing (WAAM) is a
-
, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Photothermal therapeutic
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Active fault detection in stable continental regions remains