319 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" positions in Switzerland
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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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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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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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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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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have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
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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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novel research programme at the frontier of multimodal AI and ICU clinical cognition. Under the guidance of Prof. Jutzeler, a dedicated postdoctoral researcher, and collaborators, you will have access
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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