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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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for experiments, or uncertainty quantification Experience with autonomous, self-driving, or robotic laboratory platforms Background in electronic polymers, conjugated polymers, organic semiconductors, soft
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in Biomechanical Engineering, Biomedical Engineering, Movement Science, Robotics, or a related discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with
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Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer
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faculty from diverse disciplines to advance research in human-computer interaction, human-robot interaction, rural computing, game studies and design, and the relationships between technology, policy
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of biology, robotics, and laboratory automation, with enthusiasm for collaborating closely with experimental scientists. Prior wet-lab experience is welcome but not required Excellent communication and
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of Sciences and Bioengineering Sciences, Department of Computer Science, research group Federated labs AI and Robotics, is looking for a predoctoral researcher. More concretely your work package contains: We
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substrates and their innovative use in applications such as robotics, and wearable and interactive systems. Qualifications: The successful candidate having a strong foundation in at least a few of the
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within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration
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material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and validate the model by comparing the results to experimental observations. 4) Support the