57 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at ETH Zurich in Switzerland
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of semiconductor devices. The aim is to predict these properties for arbitrarily large structures, at a DFT-level of accuracy. As a starting point, you will extend the large-scale equivariant GNNs we develop
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80%-100%, Zurich, fixed-term We are looking for a Research Engineer to join ongoing and future research projects at the intersection of machine learning, and structural design (e.g. trusses, space
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Structuring and follow-up of project ideas Execution and coordination pre-studies Preparation of industry and grant proposals Development of collaboration opportunities with other research groups Development
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and production enabled through digital manufacturing techniques. To our infrastructure belongs the Robotic Fabrication Laboratory (RFL), a unique digital construction environment, which allows for world
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, Engineering and Construction (AEC) for net-zero carbon infrastructure. Job description Development and maintenance of Python and C# libraries supporting XR-based research workflows in architecture and civil
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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: Document technical issues and provide structured feedback to sales and engineering for product improvement.
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projects, we are looking for a motivated Interaction Designer to join our team. The ideal candidate brings a structured and hands-on approach to their work and enjoys working in a small, interdisciplinary
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photon-activation methods for structural analysis of metabolites and lipids, creating metabolomics knowledge graphs, and inferring fluxes from MS data. The group collaborates with mass spectrometry vendors
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earth observation with applied forest monitoring, including tree species identification, forest structural changes, and forest resilience assessments, with a growing focus on spectral and functional trait