22 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" PhD positions in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- Arts et Métiers Institute of Technology (ENSAM)
- IMT Atlantique
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Image-Guided Surgery of Strasbourg
- Universite Grenoble Alpes
- Université Grenoble Alpes
-
Field
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 15 hours 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
-
or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
-
SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
-
the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
-
models, multi-view computer vision, semantic graph-based representations, and self-supervised learning—to automatically interpret and understand complex surgical procedures. The overarching goal is to
-
will build on recent advances in machine learning for dynamical systems to extract meaningful representations of complex flame dynamics, construct prognostic ROMs, and perform data assimilation
-
point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data
-
, machine learning (PINN, supervised learning) - Python/PyTorch programming - Autonomy, curiosity, and adaptability - Excellent writing skills Specific Requirements The doctoral student's host laboratory is
-
learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update
-
behavior. (2) Evaluate their effects on performance, safety, and security metrics. (3) Propose and validate mitigation and hardening techniques at the model, system, and learning levels. The targeted