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. The successful candidate is required to: - Contribute to programming, modelling, and human robot interaction - Contribute to computer vision and machine learning algorithms. - Contribute to the implementation
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landscape. Requirements The candidate must possess a PhD in Computer Science and have experience in fake news detection. Ideally, he or she will have worked on relevant research for real-world
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publications. • Proficiency with LiDAR or computer vision, including open-source frameworks and algorithms for 3D scene reconstruction. • Experience in Python programming (At least one year of experience
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publications. • Proficiency with LiDAR or computer vision, including open-source frameworks and algorithms for 3D scene reconstruction. • Experience in Python programming (At least one year of experience
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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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extension of our individual mind and senses. In future, every human will have AI assistance for daily life and work. We propose an integrative program of fundamental research towards this vision. Our overall
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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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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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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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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