230 systems-science-"https:"-"https:"-"https:"-"https:"-"University-of-East-London" positions at ETH Zurich
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Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer
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science The position is designed for a cumulative PhD with a strong methodological and technical focus Our offices are located in downtown Zurich, and the working languages are German and English Profile We
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candidates to bring in their own research ideas and experience The Institute for Atmospheric and Climate Science at ETH Zurich is a world-leading institute in the field of research on global and regional
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applications through emails may not be considered due to the high volume. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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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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Laboratory. Hydraulic stimulation is a key technology for enhancing permeability in geothermal reservoirs. While multi-stage stimulation using proppants and chemical additives is widely applied in the oil and
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100%, Zurich, fixed-term The Chair of Engineering Geology and the BedrettoLab at ETH Zurich invite applications for a PhD position within a research project on poroelastic effects and induced
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screening platforms, with a focus on skin tissue models, including fibrosis. We are embedded within the Tibbitt group, in the Macromolecular Engineering Laboratory . Project background The glycocalyx is a
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World Economic Forum, Berlin Science Week, and GITEX. You can learn more about the Digital Einstein project here . Project background Digital Einstein is an award-winning AI avatar platform that brings Albert
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction