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, engineering, and biology, developing new measurement and modelling approaches that transform what is possible to learn from individual cells and from minute amounts of molecular material. Three major research
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for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly interpretable alternative in modelling to the black-box approach of neural
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100%, Basel, fixed-term The Genomics Facility Basel (GFB) is a central academic technology platform jointly operated by the University of Basel and the Department of Biosystems Science and
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. Project background We are looking for a motivated intern to support the development
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100%, Zurich, fixed-term Our group investigates new ways of controlling and confining electromagnetic waves through time as an active design dimension. Rather than engineering wave propagation
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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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technologies Data analysis of real-world monitoring data Artificial intelligence and machine learning for engineering applications Researchers in COMBINE benefit from interdisciplinary, international,and inter
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on advancing a breakthrough technology to clinic for non-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be
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, are safe to touch, and work untethered and underwater (Science Advances, 2024 ). We recently extended these muscles to full antagonistic motion ranges (ICRA 2025 ) and to a sensorless, inherently compliant