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Field
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to composites) to improve defect detection, support the automation of the active thermography inspection (integration of robotic arm with active thermography approach selected), and support demonstrations
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to treatment, population health monitoring, workforce development and leadership, policy, and advocacy. Background The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated
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-GRASP”, “Simulation-Based Bayesian Inference for Object Perception in Robot Grasping”, financed by the European Union´s Horizon Europe research & innovation programme under the euROBIN project (Grant
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 23 days ago
3 Sep 2025 Job Information Organisation/Company Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra Department Department of Electrical and Computer
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position in the field of Astrodynamics and Space Robotics. The successful candidate will work on cutting-edge research in the areas of space robotics, autonomous spacecraft operations, satellite on-orbit
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Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing. Where to apply Website https
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to conduct the research for the project entitled “Multimodal Human-robot Interaction and Analytics in Robotics Artificial Intelligence”. The role will focus on research and development of human-robot
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object
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collaborate with engineers and partners to translate innovations into production-ready solutions. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related