207 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" uni jobs at ETH Zurich
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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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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
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100%, Basel, fixed-term We are developing so-called lab-on-chip technology (or microfluidic technology) for applications across the life sciences and biomedicine. Our interdisciplinary approach
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100%, Basel, fixed-term We are developing so-called lab-on-chip technology (or microfluidic technology) for applications across the life sciences and biomedicine. Our interdisciplinary approach
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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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60%-80%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution (ELE) and the Genome Engineering and Measurement Lab (GEML) at ETH Zurich are seeking a laboratory technician to join
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on the development and application of advanced electronic structure calculations to explore the phase diagram and relevant properties of layered Ruddlesden-Popper-type nickelates. Project background Layered nickelates
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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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chemicals in the environment and team up for the study of water-soluble and water-dispersible polymers (WS/DPs). These polymers are widely used in home care and cosmetic products and enter both engineered
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, the monitoring of living organisms is becoming increasingly critical in a variety of domains and this can be achieved with eDNA, allowing fast and cost-effective tracking of multiple species’ occupancy at multiple