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learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment
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and able to develop model-based methods for experimental design and analysis. You are highly motivated to learn and apply modern experimental and simulation techniques The ability to work independently
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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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a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and
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, childcare and attractive pension benefits . In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning
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an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our
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learning approaches (for automated identification of flowers) and temporal network analyses. The PhD student will have the opportunity to develop their own ideas within this project, and will also be
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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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, 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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the following is preferred, though there will be ample opportunities to learn and gain more experience with all of these skills on the job: Versioning systems and CI/CD workflows such as ArgoCD Debugging