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, lasers, data analysis, vacuum technology and numerical simulations. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages
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-class collaborators. Profile We expect from you: Recently obtained master degree in engineering or physics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis
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incorporated into the analysis. The gained knowledge will be used to develop a numerical model including key hydrologic and geomorphic processes, which will be forced with the latest climate change scenarios
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outstanding grades Excellent knowledge of continuum mechanics and finite element analysis Excellent coding abilities in at least one language Knowledge and experience with fracture mechanics and/or phase-field
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methodology that develops physics-informed graph neural networks (GNNs) for composite space structure analysis. The methodology will aim to leverage the inherent structure of composite materials, embedding
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label-free biomolecular interaction analysis, such as airborne virus detection, local aggregation of proteins and nucleic acids, etc. Additionally, our group performs research on various aspects
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before you start Very good knowledge of written and spoken English (C1 or higher) Knowledge of data analysis and/or programming and a willingness to familiarize yourself further (e.g., R, Pyton, GIS
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foundation in mathematics, physics, data analysis, and strong programming skills (Python, Matlab, C/C++, or equivalent). Capable / keen to develop and implement SAR signal-processing algorithms in such a
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before you start Very good knowledge of written and spoken English (C1 or higher) Knowledge of data analysis and/or programming and a willingness to familiarize yourself further (e.g., R, Pyton, GIS
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in experimental research, particularly in monitoring hygrothermal properties and indoor climate. Proficiency in data collection and analysis tools, as well as modeling software relevant to local room