1,109 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in France
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, Éducation en Océanie” [https://heliceo.huma-num.fr/ ] est un consortium scientifique du CNRS, prévu sur plusieurs années (2025–2030), et pour l’instant financé pour les 12 premiers mois. Il vise la
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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
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and AI to efficiently design safe systems. This is a postdoctoral position in the fields of AI planning, reinforcement learning (RL), and formal methods. The position is initially funded for 12 months
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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
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before November 2nd, 2025. Work Location(s) Number of offers available1Company/InstituteGRENOBLE INP- UGACountryFranceGeofield Contact City Grenoble Website http://www.grenoble-inp.fr Street 46 avenue
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, France [map ] Subject Areas: Machine Learning / Machine Learning Mathematics Statistics Statistical Physics Probability Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in model-based reinforcement learning to join the Computer Science and Networks (INFRES
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 8 days ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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Candidates must have expertise in at least two of the following areas: • Machine learning and its associated mathematical foundations • Embedded systems • Analog / mixed-signal design Website for additional