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Profil du candidat Currently enrolled in your final year of a Master's program (M2) or an Engineering School (including gap year students). Strong skills in computer vision and machine learning
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guide how we work together and how we support scientists at all stages of their careers and the wider scientific community. HOW TO APPLY Please submit your application through the HFSPO website ( https
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developing the Organization’s profile across a diverse range of stakeholders. The role calls for a leader with many years of research experience in the life sciences, a clear strategic vision for HFSPO
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) is an internationally recognized center of scientific excellence. Located in the heart of Toulouse, it is home to approximately 2,500 students and more than 150 faculty members in the fields of
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automatic and randomly queried baselines This internship offers an introduction to research in machine learning and computer vision. Depending on the results, it may lead to a scientific publication and may
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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
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Willingness to work in a multi-national team Willingness to travel Computer/software skills: Proficiency with Microsoft Office Familiarity with K-layout, COMSOL, Lumerical Languages: Working
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computer science, knowledge of critical embedded software; formal methods PhD opportunity Oui Requester Position start date 01/03/2026 General information Organisation The French Alternative Energies
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. Pour plonger au cœur de la salle blanche : https://www.youtube.com/wa tch?v=x2X9yzNFUnY&t=135s Durée du contrat (en mois) 6 Description de l'offre Votre mission consistera à développer des solutions de
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HFSPO - International Human Frontier Science Program Organization | Strasbourg, Alsace | France | 5 days ago
vision for HFSPO, expertise in research funding and outstanding leadership qualities. ABOUT THE POSITION Key information Contract Type: Three-year contract renewable once Reference: HFSPO/2026/CSO