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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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the impact of alloying on the magnetic properties of Sm-Co magnets, using Fe-Cr as a test bed material. This project combines advanced experimental techniques with computational modeling, including: Advanced
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candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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multidisciplinary research program and collaboration network in the area of Culturomics. Promising candidates possess an interdisciplinary profile that combines outstanding microbiological expertise with excellent
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working with/developing computational models or urban data analytics. Knowledge of building energy modelling and/or urban building energy modelling (preferably with experience in City Energy Analyst
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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the cryosphere domain. The first topic involves analyzing SAR interferometry to generate time series of digital elevation models, which will facilitate the quantification of changes in glaciers and ice sheets on a
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Network Architectures based on the available system resources (e.g., communication, computation, energy). Communication-efficient knowledge exchange among networked federated large models. These research