Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Nantes Université
- CEA-IBS
- Ecole Centrale de Lyon
- Ecole Centrale de Nantes
- European Synchrotron Radiation Facility
- IFP Energies nouvelles (IFPEN)
- Université Paris Cité
- BRGM
- CEA
- Centrale Supelec
- CentraleSupélec Rennes campus
- Centre National de la Recherche Scientifique (CNRS)
- DIM QuanTiP
- ENVT INRAE
- Fondation nationale des Sciences Politiques
- Grenoble INP - Institute of Engineering
- INERIS
- INRIA
- INSERM 1116
- Institut National des Sciences Appliquées de Lyon
- Institut polytechnique UniLaSalle
- LEM3
- Science me Up
- Sorbonne University
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite Grenoble Alpes
- Universite Gustave Eiffel
- Universite de Montpellier
- University of Bordeaux - France
- University of Montpellier
- University of Réunion
- Université Claude Bernard Lyon 1
- Université Toulouse Capitole
- cnrs
- 27 more »
- « less
-
Field
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The thesis will be conducted at the ISTerre laboratory
-
applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 16 hours ago
Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep
-
Apr 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not
-
of AI systems by a factor of 10,000 compared to conventional software solutions. In this context, the MARMOTTE project (Mott based nano-memristors networks for ultra-low-power neuromorphic computing) aims
-
eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
-
. Raissi, P. Perdikaris, and G. E. Karniadakis, Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear PDEs, J. Comput. Phys., 378:686–707
-
10 Mar 2026 Job Information Organisation/Company Sorbonne University Department LIP6 Research Field Computer science » Other Engineering » Electrical engineering Physics » Optics Researcher Profile
-
-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 20 days ago
communication networks and the storage capabilities in these clusters do not follow such fast trends. As a result, computing nodes produce outputs faster than what can be stored or sent to process elsewhere