217 information-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at ETH Zurich
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engaged in development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors
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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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staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a
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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 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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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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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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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