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water resources, advancing the understanding of fundamental glaciological processes, maintaining long-term glacier monitoring, and translating scientific insights into actionable knowledge for authorities
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sciences. The approach here is as follows: the origin of life is understood not as a sudden coincidence, but as a gradual process. The researchers are investigating how planetary conditions allow functional
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plants and investigating the impacts on the market/security. For this purpose, we will use data sourced from the ENTSO-E transparency platform and processed at the RRE. This upgrade will be utilized
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Digital Twins for Human Learning. Project background In cognitive science, it is common practice to use cognitive models to understand human thought processes – including human learning. Large language
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collegial culture. We value transparency and openness over scientific publications. We like to share our knowledge with others and allow for creativity and new technologies in our work processes. We reflect
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collaboration interfaces for effective problem-solving and decision-making. In particular, we are interested in empowering humans by teaming them up with AI agents in co-adaptive processes. To support our
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atmosphere-ocean interactions in the context of tropical cyclones. Our research group studies clouds in their various facets, from cloud microphysical processes to convective systems such as tropical cyclones
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40%-100%, Zurich, fixed-term The Chair of Energy Systems Analysis (ESA), within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich, is looking for a Scientific Assistant to
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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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is to design, implement, and operate scalable inference services within a multi-tenant HPC infrastructure As a systems engineer, you will play a key role in the architecture deployment, operation, and