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Field
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Übersicht PhD Position in Computer Vision Applied to Natural Hazards 100%, Zurich, fixed-term Drucken The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and
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intersection of computer vision, AI, and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species
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Job Description Are you passionate about computer vision, deep learning, and multimodal AI, and excited to shape how humans and machines communicate? Do you want to help build the next generation of
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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interact with the three-dimensional world. We develop methods in computer vision, machine learning, and multimodal representation learning that enable autonomous systems to reason about objects, people
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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. The project brings together expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech
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credits, at least 60 of which must be in advanced courses in computer vision or equivalent. Alternatively, you have gained essentially corresponding knowledge in another way. The degree requirement
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data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in
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conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement