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encourages 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
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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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, engineering, and biology, developing new measurement and modelling approaches that transform what is possible to learn from individual cells and from minute amounts of molecular material. Three major research
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be advantageous. Experience in medical imaging, computed tomography, image analysis, or morphometric analysis. Experience with machine learning, statistical modelling, parameter estimation, model
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March 1, 2027, or by mutual agreement. 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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outcomes Working with multimodal embedding models and machine learning methods for content performance prediction Presenting results at international conferences and to partner organisations Contributing
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an attractive and supportive workplace, inspire innovative thinking and action, and foster the professional development of your staff. You are proficient in German or willing to acquire German language skills.
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, Enviromental, and Geomatic Engineering, has an opening for a PhD student. This position focuses on leveraging vehicle sensors, remote sensing, and machine learning to support modern urban road safety analysis as
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, aiding epistemic and learning processes. They fulfill evidential, didactic, and symbolic functions, and thereby produce different forms of knowledge. Relevant topics of research might consider, for example
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Zurich We value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning