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Field
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experience with electronics and control software; great team working and learning skills, enabling rapid adaptation to evolving project needs; initiative and good time management skills; good communication
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: Validate the current markerless motion capture system against marker-based data in stroke patients Generate biomechanically accurate synthetic video data to expand training data and enable controlled
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accurate synthetic video data to expand training data and enable controlled sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single
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experiments and Discrete Choice Experiments) is a plus. Strong motivation to conduct cultural-sociological research; prior experience is a plus. Excellent command of English (C1); proficiency in one
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challenge is assembling these units into spin lattices via surface deposition, controlling the phonon-mediated spin relaxation which hinders applications at room temperature, and addressing their magnetic
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on agentic AI for autonomous mission planning, data acquisition and satellite tasking, adapting observation strategies based on real-time inputs and priorities. Smart Monitoring and AI-Based Control Design
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PhD students and participation in teaching activities. Good command of spoken and written English. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions
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, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
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experiments and Discrete Choice Experiments) is a plus. Strong motivation to conduct cultural-sociological research; prior experience is a plus. Excellent command of English (C1); proficiency in one
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(for example insect-eye–inspired motion detectors for planetary landing and insect-inspired navigation algorithms) to evolutionary and neuromorphic approaches to autonomous control, as well as soft-robotic