165 computational-physics "https:" "https:" "https:" "https:" "INRAE" positions at ETH Zurich
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off-site and on-site robotic additive manufacturing process for sustainable, low-carbon construction.To support the commercialization and technical development of this technology, we are looking for a
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computational and theoretical investigation of damage evolution associated with cavitation in soft materials under high-rate loading. The work will focus on developing physics-based models that connect behavior
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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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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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class research in the field of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence
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for the physically informed processing and joint analysis of time-series data. The successful candidate will conduct observational programmes with the SPECULOOS facility and actively participate in the scientific
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of Competence in Research (NCCR) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of