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Field
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candidate with a strong background in robotics, computer vision, or machine learning who is passionate about developing intelligent robotic systems and translating scientific concepts into working
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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
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DTU Compute, and embedded in the Section for Visual Computing. The Section for Visual Computing is focused on medical image analysis, geometry and appearance modelling, computer vision, multivariate
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efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will be expected to conduct original, high-quality research
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, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task
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Research Associate with expertise in robotic perception and computer vision to join our internationally recognised Agri-Robotics research team. You will work on Vitrum, an ambitious Innovate UK
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/Computer Vision pour analyser les images radioscopiques d'un mélange triphasique. Stage M2 de traitement et d'analyse d'images issues de radioscopies X de mélanges triphasiques. Mise en œuvre de méthodes de
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 27 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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computer graphics, visualization, or computer vision. In addition to working closely with scientists, engineers, and graduate students on research projects, the candidate is expected to actively
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machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and