145 professor-computer-"https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at ETH Zurich
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to the research group’s teaching responsibilities, which involves teaching courses for ETH’s teacher training program in German. Further, the candidate should be prepared to co-mentor PhD students and to mentor
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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2026, with a 100% workload, based in Zurich, and is fixed-term for three and a half years. Working across sociocultural, political-economic, and theoretical contexts, the LUS Doctoral Program fosters
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involves a collaboration with Associate Professor Jenni Raitoharju from the University of Jyväskylä, Finland. Keywords: ecohydraulics, Riverine Organism Drift Imager, artificial intelligence, imaging
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published work , or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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, or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi