205 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" 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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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
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research groups at ETH Zurich, the Swiss Data Science Center and Agroscope. The overall objective of PhenoMix is to test the hypothesis that current high throughput field phenotyping (HTFP) technology in
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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. Project background There is an ever
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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