189 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at ETH Zurich
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climate-neutral future . Curious? So are we. We look forward to receiving your online application, which should include: A letter of motivation Your CV Contact information for two references
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling
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, and certificates Names and contact details of two referees Further information about the research group can be found on our website . Questions regarding the position should be directed to Prof. Dr
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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description ESR15 will primarily focus on the development of metamaterials-based structures and devices that through vibration energy harvesting can exploit structural vibration to power sensors and data
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and BS degrees Contact information of 3 references Applications will be accepted until December 31, 2025. Please note that we exclusively accept applications submitted through our online application
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to complex in vivo environments (Schmidt, Science, 2022), especially in the context of drug-host microbiome interactions, and the development of dedicated tools and analytic workflows for the novel data