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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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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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and professionals across emerging areas like machine learning, cyber security, climate risk, distributed ledger technology, and quantum computing and translates that expertise into integrative research
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of material science. Examples are the use and development of muon instrumentation for the study of quantum and energy materials. The research program of this new professorship will be able to take advantage
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Physics (PI) / Paul
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language processing, speech and audio processing, energy informatics (including efficiency and sustainability), health, medicine and genomics. With a shared vision and a strong Idiap-EPFL strategic alliance, the two
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research institute that combines basic and clinical research. Our mission is to drive innovations in understanding vision and its diseases, and develop new therapies for vision loss. IOB is a place where
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multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
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vision with technical expertise in hardware and software development. We investigate these questions on a number of real-world robots such as the Unitree G1 humanoid, Stretch 3, and drones. For details
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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs