201 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" positions at ETH Zurich
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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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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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of synthetic biodegradable polymers. These materials-ranging from structural to water-soluble polymers-are designed for complete microbial metabolic utilization in their intended receiving environments (e.g
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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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, 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
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tools. Our group combines biology, engineering, and computational science to understand how cells organize into complex tissues. Located in Basel, the Department of Biosystems Science and Engineering (D
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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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100%, Zurich, fixed-term The Laboratory for Bone Biomechanics (LBB) at the Institute for Biomechanics at ETH Zurich is offering a PhD position in 3D bone tissue engineering. This position is
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that control microbial surface colonisation and biofilm assembly, structure, and rheology. We use a broad spectrum of technologies in materials science, microbiology, and microfluidics, as well as advanced
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- and medium-term macroeconomic outlooks using macroeconometric models, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods