55 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in France
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- CNRS
- IMT Atlantique
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Institut Pasteur
- Sorbonne Université SIS (Sciences, Ingénierie, Santé)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- École nationale des ponts et chaussées
- CNRS - Observatoire de Paris-Meudon
- Ecole Nationale des Ponts et Chaussées (ENPC)
- Ecole Normale Supérieure
- Ecole Polytechnique
- Ecole Pratique des Hautes Etudes - PSL
- French National Research Institute for Agriculture, Food, and the Environment (INRAE)
- Grenoble INP - Institute of Engineering
- IMT - Institut Mines-Télécom
- INSA Rouen Normandie
- INSA Strasbourg
- Institut Agro Rennes-Angers
- LAUM UMR CNRS 6613
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- Télécom Paris
- UNIVERSITE ANGERS
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- University of Rouen Normandy
- Université Grenoble Alpes
- Université de Montpellier
- Université de Strasbourg
- fluiidd
- palevoprim
- École polytechnique
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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, statistics and probabilities • data science, machine learning, artificial intelligence • optimisation • power system management, integration of renewables • energy forecasting Expected level in french : bon
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processing, neuromorphic engineering, or a closely related field. A solid background in machine learning is expected, with interest or experience in spiking neural networks, temporal modeling, or bio-inspired
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, and/or multiphysics modelling • Mathematics & AI: Numerical analysis, inverse problems, neural networks, scientific machine learning • Programming: Python (scientific computing, ML), preferably C
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | about 2 months ago
with skills in statistics and modelling through machine learning (Agronomy joint research unit, MIA joint research unit, Wageningen University & Research); (ii) national and international laboratories
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets
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analyses of declustered catalogs will quantify background seismicity changes, a sensitive proxy for stress evolution on the fault. Machine learning approaches will be used to characterize empirical
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria