468 information-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Switzerland
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100%, Zurich, fixed-term The High-Resolution Weather and Climate Modeling Group at the Institute for Atmospheric and Climate Sciences (IAC) is recruiting a PhD student for a Swiss National Science
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postdoctoral researcher in Robot Learning who is interested in questions such as: How can we fuse representations of the world with modern learning-based methods to allow for larger scale / longer horizon? How
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100%, Zurich, fixed-term The Chair of Groundwater and Hydromechanics at the Institute for Environmental Engineering (IfU), ETH Zürich, is seeking a highly motivated postdoctoral researcher with
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80%-100%, Zurich, fixed-term The Global Health Engineering group is based within the D-MAVT (Mechanical Engineering) department at ETH. Our group comprises mechanical engineers, environmental
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. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. There is no deadline and and the position will remain open
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ultimately fail. Our research is driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and
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How does life emerge from molecules and cells? This is the central question that motivates us. With curiosity and passion, we investigate the entire spectrum ranging from the atom to the organism
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100%, Zurich, fixed-term ETH Zurich’s new Political Economy of Technology (PET) group at the Department of Humanities, Social and Political Sciences , led by Prof. Dr. Lukas Fesenfeld, is seeking a
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driving the development of innovative therapies that address unmet medical needs. With over 70 research groups and 800 employees, the Department of Biomedicine is the largest department within
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of semiconductor devices. The aim is to predict these properties for arbitrarily large structures, at a DFT-level of accuracy. As a starting point, you will extend the large-scale equivariant GNNs we develop