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feeds Stage - Bac+4/+5 - Développement modules logiciels (Python) - H/F 14 / 723 vacancy Détail de l'offre Description du poste Domaine Mathématiques, information scientifique, logiciel Contrat Stage
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feeds Stage - Bac+4/+5 - Programmation Python pour le pilotage d'instruments de caractérisation - H/F 173 / 827 vacancy Détail de l'offre Description du poste Domaine Composants et équipements
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feeds Stage Ingénieur - Développement Python et ingénierie des données pour la R&D en micro-électronique H/F 141 / 827 vacancy Détail de l'offre Description du poste Domaine Administration d'entreprise
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foundations in machine learning, deep learning and computer vision Interest in visual representation learning, continual discovery, or active learning Python proficiency in a deep learning framework
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PYTHON, Pytorch, CUDA, proprietary software Profil du candidat Profile : Students in their 4th or 5th year of studies (M1, M2 or gap year) Computer vision skills Machine learning skills (deep learning
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of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework (especially
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workspace learning,” in European Conference on Computer Vision, 2026. [3] A. Brazi, B. Meden, F. M. de Chamisso, S. Bourgeois, and V. Lepetit, “Corr2distrib: Making ambiguous correspondences an ally to
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. Moyens / Méthodes / Logiciels Python, Matlab, SPECTRA Profil du candidat Vous préparez un Bac+5 (Diplôme École d'Ingénieurs, master 2 ou équivalents) en computer vision, data science, IA, traitement du
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of Textual and Visual Semantic Analysis (LASTI) conducts its research in the field of natural language processing and computer vision to extract, classify and generate information. The laboratory's
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Intership Agentic Multimodal AI for Understanding and Reasoning over Complex Technical Documents-H/F
- Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework (especially TensorFlow or PyTorch) Localisation du poste