29 machine-learning "https:" "https:" "https:" "https:" "https:" scholarships in France
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Ecole Centrale de Lyon
- Centrale Supelec
- European Synchrotron Radiation Facility
- IFP Energies nouvelles (IFPEN)
- INRIA
- Inserm UMR-S 1250
- Institut Pasteur
- LEM3
- Nantes Université
- Nature Careers
- Universite de Montpellier
- Université Gustave Eiffel
- Université Toulouse Capitole
- Université côte d'azur
- cnrs
- 7 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
) the exploration of mixed-precision arithmetic in the context of high-order discontinuous discretization methods, and (2) the integration of machine learning techniques to complement and enhance traditional
-
growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
-
democratization of approaches using artificial intelligence based on Machine Learning (statistical AI), data lakes have also been proposed [4,5]. Objectives: Monitoring farming and agronomical activities is based
-
comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
-
interactions with local centres of excellence in artificial intelligence, machine learning, applied mathematics, and computational sciences Application Procedure We accept applications from students of any
-
Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
-
with machine-learned quantum mechanical force fields trained on diverse chemical fragments. Sci. Adv.10, eadn 4397(2024) Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements
-
SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
-
, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs