214 information-security "https:" "https:" "https:" "https:" "https:" "UCL" positions at ETH Zurich in Switzerland
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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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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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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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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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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
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We look forward to receiving your online application through this portal and it should contain the following documents in PDF format (make sure your last name is on all the documents and in the file
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Zurich, fixed-term The group of Environmental Organic Chemistry at ETH Zürich is seeking a highly motivated and qualified person to fill a position for an investigation of the emissions of per
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80%-100%, Zurich, fixed-term ETH Zurich | Space is dedicated to advancing space activities both within ETH and in collaboration with external stakeholders. Our mission is to position ETH Zurich as
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help