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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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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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at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich in Basel invites exceptional candidates to apply for a PhD position in pioneering projects at the intersection of synthetic biology
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hands-on experience to turn your research into practical impact. Profile You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics
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September 2027, with some flexibility upon agreement. - A PhD in Mathematics (completed by the start date) is required. Profile We welcome applications from highly motivated candidates with a background in
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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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at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for a PhD position in pioneering projects developing synthetic biology-inspired
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study design, scientific methods, and statistical modelling Python, C# or equivalent language expertise Basic knowledge of machine learning or deep learning Desirable Skills Exposure to musculoskeletal
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science methods for nowcasting, high-frequency indicators construction, machine learning, time series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Job
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100%, Zurich, fixed-term The Neurotechnology Group of Prof. Mehmet Fatih Yanik at ETH Zurich is recruiting outstanding postdoctoral researchers and PhD students to join a newly funded LOOP Zurich