Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Télécom Paris
- Université Grenoble Alpes
- Aix-Marseille Université
- Grenoble INP - Institute of Engineering
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite de Montpellier
- Université Savoie Mont Blanc
- 1 more »
- « less
-
Field
-
role in the global carbon balance. One of the challenges is to reliably quantify CO2 emission reductions and absorption in Central Africa in order to inform policies and measures that properly address
-
or dynamics (i.e., distributional shift). These failures are difficult to anticipate and can lead to unsafe behavior, as the model’s predictions are no longer reliable. Lack of verifiability
-
of resonators per module to make the identification and monitoring as reliable as possible. Project summary: The thesis is part of a European project KDT JU on the creation of a secure chip for IoT systems
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
the Inria-Japan associate team RELIANT (Reliable multi-armed bandits), and is involved in a series of other projects, from more applied to more theoretical ones all related to the grand-challenge
-
reliability, performance, autonomy and adaptability. Meeting these challenges is reflected in the five thematic areas of research explored at the LIG. https://www.liglab.fr/fr The work will be carried out
-
, Uncertainty, Data SCOP: Reliability, Communication, Optimization SyRI: Robotic Systems in Interaction The recruited postdoctoral researcher will join the CID team, whose research focuses on Artificial
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
reliable probes of the mechanics at the microscale but remain too computationally intensive at larger scales. Macroscopic, continuum-based models are hence often preferred for their computational efficiency