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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Environment The work of the PhD
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Information Additional comments Candidate profile Applicants should hold a Master's degree in optics, physics, computer vision, deep learning, or a closely related discipline, obtained with a strong academic
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opportunity to work with other members of the French and Singaporean teams. The PhD is funded by the Q-loop project (quantique.france2030.gouv.fr/recherche-innovation/programme-lsq/), which focuses on system
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vision is also highly appreciated. The candidate must also have strong programming skills (Python, C++) and experience with ROS / MC_RTC (preferred). About MAVRICS The PhD is a part of the activities
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09907 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is a Cifre thesis in
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 28 days ago
(videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage €2300 gross/month Selection process Website for additional
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the Job related to staff position within a Research Infrastructure? No Offer Description The MuSkLE-PhD programme aims to train 55 doctoral fellows, providing interdisciplinary expertise
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking