Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- North Carolina State University
- INSERM
- Inria, the French national research institute for the digital sciences
- 3IA Côte d'Azur
- AMPÈRE INSA-LYON
- CNR/IPCF
- CNRS IEMN
- CNRS-LIRMM
- ENS MONTROUGE
- IMT Atlantique
- INSA Strasbourg
- LEAD CNRS UMR5022, Université de Bourgogne
- The University of Queensland
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- Université de Caen Normandie
- Vascular Brain Health Institute
- 8 more »
- « less
-
Field
-
5 Sep 2026 Job Information Organisation/Company CNR/IPCF Research Field Physics » Acoustics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
-
4 Oct 2026 Job Information Organisation/Company CNRS Department Institut d'Electronique de Microélectronique et de Nanotechnologie Research Field Engineering Physics Technology Researcher Profile
-
19 Sep 2026 Job Information Organisation/Company CNRS Department EconomiX Research Field Economics Researcher Profile First Stage Researcher (R1) Application Deadline 9 Oct 2026 - 23:59 (UTC
-
12 Sep 2026 Job Information Organisation/Company CNRS Department Développement, Adaptation, Vieillissement Research Field Mathematics History » History of science Researcher Profile Recognised
-
develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
-
Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 7 days ago
OPIS project team under the supervision of team leader Emilie Chouzenoux. The project will be carried out in collaboration with E. Chouzenoux and J.-C. Pesquet (OPIS), C. Lefort (XLIM, CNRS, Limoges
-
uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation and high-resolution mapping methods with advanced machine learning feature
-
uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation and high-resolution mapping methods with advanced machine learning feature
-
autonomously when required The Institute of Electronic, Microelectronic and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en/ ) is in Villeneuve D'Ascq, close to the city of Lille (France). We offer
-
actions in distributed power grid systems at INSA Lyon (France). This thesis is co-supervized by LAAS-CNRS. Future energy networks will increasingly rely on interconnected and distributed infrastructures