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incisions, thereby significantly improving clinical outcomes. Such surgical techniques include insertions of needles, flexible snake-like continuum robots, and micro- and nano-robots. For effective medical
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You will be responsible for the work on motion planning for mobile manipulation and collaborate with two PhD students within the context of ERC project "INTERACT". Mobile robots are not yet capable
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, multi-robot learning, multi-modal prediction models, or other related topics to this project. You will work closely together with two PhD students, one focusing on motion planning and one focusing
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on the design, fabrication, and analysis of an artificial soft robotic heart. The HHH consortium is a partnership between TU Delft, Erasmus MC, Eindhoven University of Technology, AMOLF, UTwente, Saxion, and
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solutions in driving simulator experiments with human participants. Need to have: MSc (for Junior Researcher) or PhD (for Postdoc researcher) in signal processing, human factors, vehicle engineering
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will be supervised by Dr. Georgios Papaioannou (Intelligent Vehicles Section at Cognitive Robotics Department ) and Dr. Meichen Guo (Delft Center for Systems and Control). The project is funded as
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Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and accelerate the design of an innovative soft robotic heart for HF patients worldwide
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a soft robotic actuator using neuromorphic learning control. The overall goal of this PhD project is: To develop and integrate adaptive spiking circuits based on organic neuromorphic and biohybrid
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techniques. Requirements Specific Requirements A PhD degree in biomedical engineering, robotics neuroscience or related field. A PhD in which you used advanced signal processing methods to study human
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Institute (EASI) have a vacancy for PhD project funded by the ERC Project NEURO-LABS to develop "Organic neuromorphic and biohybrid spiking circuits”. Project Neuromorphic electronics is currently