187 structural-engineering-"https:"-"https:"-"https:"-"https:"-"INSA-toulouse" positions at ETH Zurich
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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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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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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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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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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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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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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