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60%-80%, Zurich, fixed-term The Strategy & Analytics Group in the Unit for Teaching and Learning provides the evidence behind decisions about teaching at ETH Zurich. The team runs ETH-wide projects
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Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet highly controlled, behavioral assays in which
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numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and
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the needs of HPC and AI platforms Supporting, documenting, and sharing knowledge of tools, and procedur Profile You should have a bachelor’s or higher degree in computer engineering, computer science, a
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, processing, and analysis of large and heterogeneous data. Within the DMI, the new professor will build bridges between distributed systems, data science, and machine intelligence through shared interests in
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modelling and machine learning. The PhD student will help implement, coordinate and analyze studies that bridge controlled physiology and ecological, home-based assessment. Job description The successful
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professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by
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the basis in thermodynamic mixture properties to conceptual process design for chemical plastics recycling, by linking advanced machine learning techniques with high-throughput experimental methods developed
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, for both personal mobility and urban logistics. Large-scale pilots in four European cities validate methods in real traffic, support cross-city learning, and ensure applicability under diverse safety
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can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare, and attractive pension benefits. chevron_right Working