199 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "Multiple" uni jobs at ETH Zurich
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largest research centre for the natural and engineering sciences in Switzerland. The current research focus is the investigation of novel magnetic systems at the mesoscopic scale making use of the clean
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infrastructure that supports world-class science in Switzerland. To achieve this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools
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collaboration between Food Process Engineering and Food Structure Engineering at ETH Zürich. Plant-based meat alternatives are typically obtained via high-moisture extrusion cooking. Texturization is believed
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online calibration framework that leverages deep learning to intelligently fuse data from multiple sensors (IMU, cameras, eye-trackers) By training models on a high-fidelity digital twin and exploring
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solutions. Project background Organic redox flow batteries are a promising next-generation technology for large-scale, safe, and sustainable energy storage. Their performance relies critically on the ability
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80%-100%, Zurich, fixed-term The Center for Climate Systems Modeling (C2SM) at ETH Zurich is a joint, interdisciplinary center linking ETH Zurich with partner institutions. It provides a technology
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materials, surgical technologies. Ability to collaborate and communicate across engineering, materials science - chemistry, manufacturing, and clinical teams. Structured, detail-oriented, and rigorous
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and duty-cycling strategies responsive to structural dynamics. Energy harvesting and lifetime optimization. Integrate multi-source energy harvesting (vibration, solar, RF, etc.) and dynamic power
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are looking for a creative, detail-oriented Junior Communications Designer to join our communications team. The ideal candidate will have a strong eye for visual design, an interest in science and technology
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advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework