202 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at ETH Zurich in Switzerland
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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demonstrate outstanding research and teaching records and a proven ability to direct research work of high quality. We welcome candidates from all areas of Statistics and Data Science, broadly defined. The new
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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novel setups and voltage/current sources dedicated towards the research question. Measured data is thoroughly analyzed with state-of-the-art theoretical models and published fully open access. The aim
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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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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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of history, philosophy or neighbouring humanities disciplines (such as STS, cultural studies, social anthropology). The starting date is around September 2026. The position is for two years with
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The healthcare systems of the future must harness data effectively to support clinicians, allowing them to focus on patient care while leveraging AIto detect patterns beyond human perception
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80%-100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) of the ETH domain, with EPFL and ETH Zurich
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100%, Zurich, fixed-term The postdoctoral researcher will advance the application of AI, large language models (LLMs), and machine learning to extract trustworthy climate information from large