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research projects in- and outside the team. You will be part of a dynamic research environment with a strong microbiology, immunology, and epithelial cell biology network at ETH and UZH, have access to state
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why complex materials fail and a commitment to developing new concepts, experiments, and models that advance our understanding of failure mechanics. Project background To advance our efforts in
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, ensuring interoperability with the Swiss Personalized Health Network (SPHN). BMIP builds on ETH Zurich’s Leonhard Med secure research-IT platform and supports the use of artificial intelligence to advance
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network at ETH and UZH, have access to state-of-the-art facilities and a variety of stimulating internal and external seminars. Job description We are looking for an intrinsically motivated, creative person
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research in earthquake physics, seismic instrumentation, and geothermal energy. A dense, multi-scale seismic network consisting of standard seismological instruments, borehole piezoelectric acoustic emission
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or two of these areas: algorithm learning, approximation algorithms, blockchains, complexity theory, deep neural networks, distributed systems, graph theory, graph neural networks, learning theory, online
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80%-100%, Zurich, fixed-term The Research Center for Energy Networks (Forschungsstelle Energienetze – FEN) of the Swiss Federal Institute of Technology, Zurich (ETHZ) acts as a bridge between
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. Our technological focus is thermal energy systems, sustainable carbon feedstock, and CO2 capture, utilization, and storage. Project background To achieve Switzerland’s net-zero climate target by 2050
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thanks to a complex network of sensors and control systems at various levels, that manage tasks such as air quality control, temperature regulation, and zone-specific environmental conditioning. Advanced
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editing and science communication Excellent written and spoken English skills, with the ability to communicate complex scientific concepts clearly and accessibly Strong organizational skills and attention