128 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- IMT Atlantique
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- Institut Pasteur
- Nature Careers
- École nationale des ponts et chaussées
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure de Lyon
- IMT Mines Ales
- Télécom Paris
- Universite de Montpellier
- Université de Bordeaux / University of Bordeaux
- Aix-Marseille Université / CNRS
- Bioptimus
- CEA-Saclay
- Centre de recherche en Automatique de Nancy
- ESRF - European Synchrotron Radiation Facility
- Ecole Normale Supérieure
- European Synchrotron Radiation Facility
- Fondation Nationale des Sciences Politiques
- Grenoble INP - LCIS
- IMT MINES ALES
- IMT Mines Albi
- INSA Strasbourg
- Institut Agro Rennes-Angers
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP)
- Institute of Image-Guided Surgery of Strasbourg
- Nantes Université
- Sorbonne Université SIS (Sciences, Ingénierie, Santé)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite Grenoble Alpes
- University of Avignon
- University of Rouen Normandy
- University of Strasbourg
- Université Bourgogne Europe
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université Sorbonne Paris Nord
- Université de Strasbourg
- fluiidd
- l'institut du thorax, INSERM, CNRS, Nantes Université
- université Strasbourg
- École polytechnique
- 35 more »
- « less
-
Field
-
reliability. · Understanding of hardware accelerators for AI and their operation. · Familiarity with machine learning workloads (e.g., CNNs). As this is a research position, it is necessary
-
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
-
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
-
Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 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
-
being responsible for the confocal microscope (maintenance). Resources provided (equipment, IT, etc.): office equipped with a computer workstation, equipped laboratory bench, reagents and equipment shared
-
within the ANITI HUCAD project which aims to develop Artificial Intelligence (AI) systems fostering human-machine collaboration for effective deliberations. It aims to enhance the argumentation
-
) - Implement a demonstrator of the platform where a human learns how to operate a CNC machine with the help of a social robot, through the digital twins and interfaces. This includes: o Defining a learning
-
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
-
solid experience in programming, particularly in Python and JavaScript. Significant experience in data science and machine learning will be highly valued. You like to work in a team while demonstrating
-
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