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quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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. You will incorporate field survey data, remote sensing and other auxiliary data into spatial modelling processes using techniques such as species distribution modelling and artificial intelligence
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/current sources dedicated towards the research question. Measured data is thoroughly analyzed with state-of-the-art theoretical models and published fully open access. The aim of our research is to advance
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: Fiber-based soft optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration
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models and automation. We offer In this role, you will: Have the freedom to develop your research ideas and skills. Have the opportunity to collaborate internally with other ETH faculty as
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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modeling. Transcriptome recording and cellular history reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature, 2018; Tanna, Nature Protocols, 2020) that encodes