Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- CNRS
- Institut Pasteur
- CEA
- European Magnetism Association EMA
- BRGM
- École nationale des ponts et chaussées
- Anthogyr
- European Synchrotron Radiation Facility
- Hult
- IFP Energies nouvelles (IFPEN)
- IMT MINES ALES
- Inria, the French national research institute for the digital sciences
- Institut Imagine
- Nantes University
- Télécom SudParis
- University of Reims Champagne-Ardenne (URCA)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- 10 more »
- « less
-
Field
-
topological textures. A wide range of applied functionalities could be considered: terahertz sources, unconventional computing and AI, security components, telecommunications, sensors, memories etc.
-
to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
-
: Neuroscience Project Summary This project proposes to explore how to equip artificial neural networks with the ability to efficiently unlearn, by applying neuroscientific insights from the same ability of mammal
-
at the Doctoral School of Chemistry at the Université de Bordeaux. Initially, the candidate will be hired for 13.5 months (max.) as a Doctoral Candidate (DC) within the European Doctoral Network MultiSMART. The PhD
-
We can’t connect to the server at www.emploi.cea.fr. What can you do about it? If you entered the right address, you can: Try again later Check your network connection Check that Firefox has
-
Networks (CANs) are thermosets in which permanent covalent crosslinks have been substituted by exchangeable bonds creating a new family of polymer at the border of thermosets and thermoplastics.1 Despite
-
at Ecole nationale des ponts et chaussées (ENPC), with access to state-of-the-art laboratories, computational resources, and a network of industry collaborators. The project offers opportunities
-
of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with the ability of neural networks to learn unknown posterior distributions
-
optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
-
Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a