51 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs in France
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- CNRS
- Inria, the French national research institute for the digital sciences
- IMT Atlantique
- 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
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- Ecole Nationale des Ponts et Chaussées (ENPC)
- Ecole Normale Supérieure
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- French National Research Institute for Agriculture, Food, and the Environment (INRAE)
- Grenoble INP - Institute of Engineering
- IMT - Institut Mines-Télécom
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- INSA Strasbourg
- Institut Agro Rennes-Angers
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- UNIVERSITE D'ORLEANS
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- University of Rouen Normandy
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- Université de Montpellier
- Université de Strasbourg
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- École polytechnique
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minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and
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-France 75 005, France [map ] Subject Areas: Statistical Physics Machine Learning Appl Deadline: 2026/01/16 04:59 AM UnitedKingdomTime (posted 2025/11/04 05:00 AM UnitedKingdomTime, listed until 2026/05/05
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, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often
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% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
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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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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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, 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 1 month 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