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research projects. The candidate will do research on 3D Human Reconstruction, Neural Representations and Rendering for Humans, and Animatable Humans. The goal is to publish in top-tier computer vision and
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be a hot bed for top quality research and the playground for commercialization and start-ups. Qualifications A PhD degree in Computer Science/Computer Engineering Possess strong background in
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junior researchers in the team. Qualifications A PhD degree in Computer Science or related field. Evidence of good research in computer vision and deep learning. A good publication record. Mentoring
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by the principal investigator. Job Requirements • A PhD within the fields of computer science, engineering, statistics, mathematics, or related field; • Strong analytics, computer vision, and/or
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faculty appointment on the Educator Track Scheme. Educator Track candidates should possess a PhD or equivalent, with teaching experience in higher education settings. More specific requirements are, but not
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Qualifications PhD in Computer Engineering/ Mechatronics/Mechanical Engineering (Robotics Equivalent) Experience with Robot Operating System framework Experience with perception and fusion algorithms and libraries
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Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL
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experience may also apply for a faculty appointment on the Educator Track Scheme. Educator Track candidates should possess a PhD or equivalent, with teaching experience in higher education settings. More
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Qualifications / Requirements : • Possess a PhD in electrical engineering, computer science or related fields • Strong first-author publication records (>=2) in top-tier AI/Robotics conferences like CVPR
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of Singapore (NUS). The selected incumbent is expected to: • Investigate innovative integrated systems for real-time computer vision on a tightly constrained power budget, for self-sustained harvested-powered