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Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction
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The Computer Security Group is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI engineers, and health systems researchers
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using clinical and sensor-based data. The position provides exposure to multimodal clinical and laboratory-based data acquisition, collaboration with computer scientists, engineers, clinicians, and
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-factors sides of human–computer interaction. The ability to work independently, communicate clearly, and navigate open-ended research question The following would be a plus: Practical experience building
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academic and industrial research. The topic of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and
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circuits to computer networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise
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- such as high-frequency on-board vehicle sensors and computer-vision imagery - are well-suited to capture these complexities via near real-time, high-resolution insights. However, collecting, processing, and
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these complexities by utilizing high-resolution data (e.g., high-frequency measurements from on-board vehicle sensors and computer-vision imagery) to provide near real-time insights. However, it is not yet clear how