179 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" uni jobs at ETH Zurich
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class research in the field of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence
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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
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation
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actively promote gender equality and foster an open, inclusive work environment. For further information, please contact Dr Valentina Vitali, ETH Zurich (valentina.vitali@usys.ethz.ch ). Start Date: February
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(including current transcript if enrolled in an MSc programme) Contact information for 2-3 referees Please note that we exclusively accept applications submitted through our online application portal
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Ecohydrology groups please visit the respective websites. Questions regarding the positions can be directed to Dr. Marius Floriancic (floriancic@ifu.baug.ethz.ch ) and Prof. Dr. Nina Buchmann (nina.buchmann
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directed to Prof. Dr. Maarten Delbeke by email institut@gta.arch.ethz.ch (no applications please). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data