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willingness to train during the PhD. Interest in analyzing the safety of robotic systems through formal models. Experience in implementing continuous planning and control algorithms for robots. Curiosity
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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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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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. Georgios Papaioannou (Intelligent Vehicles Section at Cognitive Robotics Department ) and Dr. Meichen Guo (Delft Center for Systems and Control). The project is funded as Cohesion grant, a internal TUD
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misses an actionable framework to deliver on its promises [1]. In this PhD project, you will directly contribute to tackling this challenge by taking inspiration from key neuroscience insight. To do so
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supervised by Dr. Georgios Papaioannou (Intelligent Vehicles Section at Cognitive Robotics Department). The intelligent vehicles section consists of three groups (Machine Perception, Human Factors and
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flawless wind turbine blade production. This position is part of the Efficient & Proven Zero-Defect Robotic Manufacturing Project, where in collaboration with industry leaders, we're dedicated to reshaping
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universities, numerous companies, and encompasses scientific research, data collection and sharing, education, and practical applications in agriculture and plant breeding. On this PhD project you will develop