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middleware (e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g
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neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
LLM, VLM and Foundation Models. Good knowledge of robotics. Languages: English (English is the official language of the team and many members do no speak French). Proactivity and curiosity, daily
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. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and
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and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates
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of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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students. Job Requirements: A Bachelor’s degree in relevant fields with past experience in embedded system, machine learning and software development. Knowledge in robotic system development is a plus
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robotic systems. Where to apply E-mail bastien.lemaire@unicaen.fr Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Skills/Qualifications PhD in biology, cognitive sciences
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and industrial partners of the project, including Unilever, Shadow Robot Company, Ocado Technology and MathWorks. More details of the project can be found in the following link: https://www.kcl.ac.uk