166 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at ETH Zurich
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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description Collection of technical information about fluoropolymer manufacture (scientific literature, technical reports, product reports by companies, patents, conversations with experts, etc.) from the field
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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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), highly resolved (hourly‑scale) data on species presence, abundance, and movement patterns in rivers and streams. To address this gap, this project aims to realise the Riverine Organism Drift Imager (RODI
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100%, Zurich, fixed-term The Biomedical Data Science Lab (BDS Lab) at ETH Zurich is seeking a highly motivated Scientific Assistant to join our interdisciplinary research team working
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information for two references, which can be appended to the CV or provided as a separate PDF if you prefer. No reference letters are needed at the time of application, and we will notify you in advance if we
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and
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. The project will address questions regarding inheritance flows, inter-vivos gifts, bequest motives and taxation. You will be involved in all stages of research, from cleaning data to carrying out data analyses
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and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. The position will involve close collaboration