Sort by
Refine Your Search
- 
                Listed
 - 
                Employer
- CNRS
 - Inria, the French national research institute for the digital sciences
 - Arts et Métiers Institute of Technology (ENSAM)
 - Ecole Normale Supérieure
 - Ecole polytechnique
 - Institut Pasteur
 - Nature Careers
 - Universite Grenoble Alpes
 - University of Paris-Saclay
 - Université Paris-Saclay (UPS)
 - Université Paris-Saclay GS Mathématiques
 - Université Savoie Mont Blanc
 - École nationale des ponts et chaussées
 - 3 more »
 - « less
 
 - 
                Field
 
- 
                
                
                
this goal, it is paramount to characterize the added value of using machine learning in estimating and decoding quantum errors occurring in coded quantum systems. Research program: The PhD student will first
 - 
                
                Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus
 - 
                
                
                
. Experimental characterization of Hall effect thrusters using combination of diagnostic techniques such as optical emission and absorption, Langmuir probes, etc. enhanced by the application of machine learning
 - 
                
                
                
Offer Description Funding: 36 months, CIFRE (https://www.anrt.asso.fr/fr/le-dispositif-cifre-7844 ) Starting date: November / December 2025 Keywords: Physically informed machine learning, Industrial
 - 
                
                
                
The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
 - 
                
                
                
authorities. École des Ponts ParisTech, in accordance with its strategic plan, develops a long-term research activity in the field of Machine Learning and Computer Vision. The IMAGINE team is a renowned
 - 
                
                
                
that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
 - 
                
                
                
psychological theory, cultural history, and interdisciplinary research. Good academic writing and communication skills in English. Desirable skills Knowledge of machine learning or advanced NLP techniques (e.g
 - 
                
                
                
of machine learning algorithms are of real interest in improving the accuracy of water quality measurements, particularly in identifying, accounting for, and neutralizing ionic interference. The second key
 - 
                
                
                
and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific