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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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the performance and user experience of the proposed 3D interaction on users. Funding category: Financement de l'Union européenne Projet Advhandture PHD Country: France Where to apply Website https://www.abg.asso.fr
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, additive manufacturing
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. This opens the door to a new generation of infrared devices – from high-resolution 3D and biometric sensors to advanced, compact, and more cost-efficient night vision equipment. Moreover, the TADF mechanism
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experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks
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; Proficiency in ROS/ROS2 (Robot Operating System) and middleware for data integration; Knowledge of temporal and spatial synchronization of sensors and extrinsic/intrinsic calibration. Computer Vision and 3D
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international conferences to present your own work, and learn about state-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital