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Architecture & Roadmap: Define the technical vision and high-level design for ViViD-AFM V2.0, ensuring a scalable and robust system architecture. IP Strategy & Novelty Design: Drive the design process to ensure
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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
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Full-time Is the job funded 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 Materials
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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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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. The Animal Genomics group at the Institute of Agricultural Sciences at ETH Zurich and the Quantitative Genetics & Genomics group of Dr. Tom Druet from the University of Liège, Belgium, investigate DNA
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reality (XR), machine vision, and human-robot collaboration. Project background The research investigates how interactive computational tools, extended reality (XR), and robotic systems can augment human
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Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich with a unique focus
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disciplines such as neuroscience/cognitive science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view
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, Sofia 1784, Bulgaria [map ] Subject Areas: Computer Science / Computer Vision Machine Learning / Machine Learning Natural Language Processing Artificial Intelligence / Robotics Quantum Computing