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of various weather and climate shocks and input the estimated impacts into the model. To this end, the doctoral candidate will leverage theoretical, computational, and econometric tools to study public policy
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of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration is set for
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Political Science, Economics, Sociology, Data Science, Computational Social Science, or in a closely related discipline Knowledge of causal inference methods and/or machine learning Strong command of R
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100%, Zurich, fixed-term In our highly competitive CLS doctoral training program, fellows are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Stuttgart
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experimental methods for measuring and controlling electronic dynamics in molecules on attosecond time scales, during chemical reactions and in the liquid phase. Project background The position is part of
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sensing data fusion for urban transport infrastructure safety analysis. The candidate will develop new tools and methods that integrate big data, computer vision, and machine learning. The candidate’s core
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The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user
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on the development of new diagnostic and prognostic methods (biosensors, biomarker analytics, artificial intelligence), which are expected to be validated via their integration in clinical workflows. The new professor
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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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