167 affective-computing-"https:" "https:" "https:" "UCL" "UCL" positions at ETH Zurich
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job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society DARCH is ranked 4th in the global 2025 QS
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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class research in the field of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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of this disease has resulted in widespread misuse of antibiotics, leading to the development of substantial drug resistance. Indeed, in the worst affected regions, drug resistance among recurring TB infections has
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researchers around the world, the opportunity to benefit from various teaching experiences, and the possibility to prepare for your academic career Your job with impact: Become part of ETH Zurich, which not
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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to inform model adaptation and performance evaluation. Implementing ROM methodologies for fluid–structure interaction in wind turbine systems, balancing accuracy and computational efficiency. Validating
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. Neuromorphic computing and ML deployment on digital and neuromorphic processors TinyML and EdgeAI and ultra-low-power inference for resource-constrained systems Techniques such as quantization, pruning