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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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Disease Programme (SPARKLE) - Theme 5: Neurotech Intervention, we establish a sub-project on “Human Gait Detection via Acoustic-enabled Footstep Tracking under NTU-CCDS. In line with NTU’s vision and
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record of publications in Computer Vision, Natural Language Processing or Multimodal AI research. Excellent programming skills and familiarity with Python and PyTorch Excellent mathematical literacy and
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. This role will contribute to NTU’s mission of driving transformative research in artificial intelligence and robotics by developing force-integrated Vision-Language-Action models that enable seamless human
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and support to
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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who place patients at the centre of exemplary care. Guided by its vision to redefine medicine and transform healthcare, LKCMedicine advances research through impactful discoveries with national and
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foundation models for general manipulation based on vision-language-action models Develop learning from human demonstration (LfD) framework for vision-language-action models Develop multi-embodiment
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for healthy longevity and its vision of enhancing health and extending healthspan through accelerated translation from bench to bedside. By working closely with clinicians in NHG Health and scientists in NTU