Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Nantes Université
- Université de Bordeaux / University of Bordeaux
- IMT Mines Albi
- Aix-Marseille Université
- BRGM
- FRANCE ENERGIES MARINES
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- IMT - Atlantique
- INRAE
- INSA Strasbourg
- LEM3
- Nature Careers
- Télécom Paris
- Universite de Montpellier
- Université Paris Cité
- Université de Caen Normandie
- Université de montpellier
- École nationale des ponts et chaussées
- 12 more »
- « less
-
Field
-
of disasters and their predictions, and the effectiveness and cost of preventive measures need to be considered. These scenarios must be based on existing data and expert forecasts. The + of this position
-
and sophisticated planning capabilities by enabling an agent to learn a predictive model of its environment. However, the direct application of current MBRL methods to safety-critical domains, such as
-
Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected
-
) that ensure predictable timing, performance, and safety for AI workloads running on a new space platform. The project relies on the POMELOS platform [1] and the SPARROW accelerator [2], a specialized hardware
-
will use the information extracted from technical drawings and documents to predict manufacturing operations (cutting, bending, welding, etc.) and estimate their cost or duration based on internal
-
missions within the framework of this ERC: i) to develop new models for the geometry of the cosmic web, taking into account the bias of baryons, and ii) to implement “nulling” techniques to predict the weak
-
Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | about 1 month ago
You will make predictions of deleterious mutations using methods based on evolutionary conservation and machine learning You will evaluate the impact of domestication and selection on genetic load and
-
nanoparticles, whose manufacture is generally based on “trial & error” methods. Thus, the aim of TOSCaNA is to develop an experimental approach and a CFD formalism for predicting the size and morphology of metal
-
the execution of hydro-chemo-mechanical loading and the monitoring of the animal's response to material integration should provide sufficient data to enable the construction of predictive tools. Currently
-
by Professor Cédric Mauprivez aims, among other things, to improve sinus lift surgery through the use of preoperative digital assistance tools and repair prediction tools. This application is being