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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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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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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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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
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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 Equal Opportunities and Diversity website
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excellent oral and written level of English is essential Conversational knowledge of German is an advantage, but desire to learn it is a must As the project involves collaboration between groups in
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expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge of rock mechanics, soil mechanics and/or