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Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Computational Design and Digital Fabrication of high-performance timber plate structures
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The Laboratory of Energy Science and Engineering (LESE, ETH Zürich) invites applications for a PhD position in the field of CO2 capture, with a focus on structure–performance relationships. At LESE, our research
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techniques and/or plant genetics Motivation to work independently while contributing to a collaborative research environment Excellent communication skills in English Experience in Arabidopsis, microscopy
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embedded in Work Package 2of the ENDOTRAIN network that will explore the use of nanotechnology-enhanced electrochemical sensors for highly sensitive, selective and reversible biomarker sensing. Specifically
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microorganisms can be used to produce high-performance biopolymers. The scalability and non-seasonality of this process will enable the sustainable manufacturing of biopolymer filaments, films and 3D structures
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perfusion, metabolism and function, tissue composition, microstructure and mechanics. The group exploits principles from physics, electrical engineering and computer science to design highly efficient and
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hydrogen in geological reservoirs and its potential for human energy use. Implications for early life and habitability on Earth and other planetary bodies. The work will combine experimental stimulations
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. An efficient design of novel processes needs to account for the interactions of molecules and materials with the process performance that occur at interfaces: e.g., adsorbent materials, heat exchanger surfaces
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position on Nonlinear Topological Metamaterials The goal of this work is to develop novel methods for nonlinear wave manipulation and topologically-protected waveguides, and to demonstrate these methods with
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forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd