Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object
-
tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
-
the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
-
software, analytical platform, chemistry and microbiology laboratories. **Main contacts (CNRS internal and external network):** JH Renault (ICMR), Véronique Eparvier (ICSN), Maria Halabalaki (NPMC, Athens
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
fitted with sensors, we can also access precise physical measurements. Recent work in AI-for-Science has shown that neural-network-based meta-models can also assimilate measurements. Machine learning
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
including several collaboration modes: - connected where user modifications are immediately shared and visible to the other users - disconnected where users are not connected to the network. User
-
modified under the influence of an external electric field (E). Antiferroelectric materials, on the other hand, have an antipolar dipolar structure corresponding to a net polarization of zero and undergo a
-
identification of exchange networks from local to extra-regional scales. The doctoral candidate is expected to conduct metallographic examinations and chemical characterizations (primarily SEM-EDS and LA-ICP-MS
-
the REFFRACTEUR European Doctoral Network. The 36-month doctoral programme will be organised as follows: Months 1–9 (9 months): the doctoral candidate will work primarily at the IMERYS research site in Lyon, France
-
this thesis is part of the European doctoral network REFFACTEUR, the 36-month period will be divided as follows: - Months 1 to 9 (9 months): the PhD student will first work mainly in Saint-Aulaye