213 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" uni jobs at ETH Zurich
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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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quality Surrogate Modeling: Building, training, and evaluating machine learning surrogate models to emulate complex seismic behaviors and accelerate forecasting Data Engineering: Populating and managing
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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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our ETH job portal. Applications via email or postal services will not be considered. Further information about the Institute can be found on our website . Please contact Dr. David Kostenwein kostenwein
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portal. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. For further information about the group
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: Motivation letter CV List of publications Contact details of 2–3 references Further information about BedrettoLab can be found on our website . Questions regarding the position should be directed to Dr
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candidates by mid-May 2026. For further information about the Crop Science group and PhenoMix please visit the respective websites. Questions regarding the position can be directed to Prof. Dr. Achim Walter
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data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration