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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The transition towards autonomous and remotely
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understanding of the interactions between communication, sensing, control, and decision-making in autonomous robotic systems. Experience in developing algorithms for robot navigation, path and trajectory planning
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-robot systems for exploration and reconnaissance, with an emphasis on coordinated ground and aerial robotic platforms. Develop novel algorithms for multi-agent coordination, autonomous navigation
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named “TOUBKAL”. Job Description: The postdoctoral researcher will contribute to research activities in communication-aware robotics, with a particular focus on autonomous and networked robotic systems
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reinforcement learning approaches for autonomous guidewire shaping and control. • Design experiments, validation strategies, and quantitative performance metrics for robotic navigation and wire-shaping systems
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Requisition Id 16867 Overview: We are seeking a Postdoctoral Research Associate in Robotics and Navigation who will focus on developing an autonomous underground exploration and mapping robotic
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for autonomous systems, healthcare and rehabilitation. You will design and conduct behavioural experiments and develop computational models of multisensory integration and sensorimotor control, using approaches
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, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
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positions. The postdocs will support an exciting new project that is focused on autonomous, soft, tip-extending robots for stroke treatment. The overall goal is to enable fully autonomous navigation
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verified results is necessary: - Navigation through unknown environments - Rapid dynamics-based planning - Semantic-based Exploration - Source localization - Perception in sensor-degraded environments