Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Grenoble INP - Institute of Engineering
- Institut Pasteur
- Nature Careers
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure
- Ecole Normale Supérieure de Lyon
- IFP Energies nouvelles (IFPEN)
- IMT Atlantique
- IMT Mines Ales
- Universite de Montpellier
- Université Claude Bernard Lyon 1
- Université de Bordeaux / University of Bordeaux
- Université de Strasbourg
- Aix-Marseille University
- Aix-Marseille Université / CNRS
- Bioptimus
- CEA-Saclay
- Centre de recherche en Automatique de Nancy
- ESRF - European Synchrotron Radiation Facility
- European Synchrotron Radiation Facility
- Fondation Nationale des Sciences Politiques
- Grenoble INP - LCIS
- IMT - Atlantique
- IMT Mines Albi
- INSA Strasbourg
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP)
- Institute of Image-Guided Surgery of Strasbourg
- Nantes Université
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite Grenoble Alpes
- University Paul Sabatier
- University of Avignon
- Université Bourgogne Europe
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université Sorbonne Paris Nord
- Université de Caen Normandie
- Université de Lorraine
- l'institut du thorax, INSERM, CNRS, Nantes Université
- université Strasbourg
- École nationale des ponts et chaussées
- 33 more »
- « less
-
Field
-
machine learning to model network behavior from real-world measurements (e.g., [7]). Although promising, these approaches still face three major limitations: (i) they often rely on idealized and extensive
-
Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
the Statify team, located in Inria Montbonnot. He or she will have access to a team of experts in high-performance computing and machine learning that will help him or her to kickstart the project under
-
22 Oct 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Biological sciences Technology » Computer technology Researcher Profile
-
research projects within LIA’s CORNET team, focusing on: Network and cloud systems, Virtualized network systems, Cloud and edge computing technologies and machine learning related topics
-
knowledge of multi-objective problems. Master students or Engineers in the field of Process Systems Engineering are strongly encouraged to apply. Knowledge of machine learning algorithms, energy markets and
-
of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
-
training, as well as on machine learning or generative AI models. Technology watch on AI recommendation models and optimization of recommendation algorithms. Implementation of the recommendation engine
-
Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website
-
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
-
(including computer science, machine learning or deep learning). Activities Description of the research activities : The post-doctoral researcher will develop the research actions defined in his/her research