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are seeking a Programme Manager (Senior Assistant Manager) at NTUitive to lead the day-to-day operations and ecosystem engagement for a high-profile deep tech commercialization programme. This role plays a
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acoustic sensing leveraging deep learning To independently transform acoustic signals from continuous space to digital forms and apply math tools to interpret the results. To produce research reports and/or
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-on experience in autonomous robotics projects; exposure to deep learning or reinforcement learning is a plus. Strong problem-solving ability, collaborative and independent work style, willingness to learn new
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hands-on experience in areas such as computer vision, deep learning, multi-modal sensing, robotics, structural health monitoring, or digital twin technologies. (Fresh PhD graduates are welcome
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learning opportunities, which includes student-led activities, leadership development initiatives, residential hall programmes, integration efforts, community engagement initiatives, as well as arts and
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language processing, reinforcement learning, deep learning, and distributed computing. We aim to create impactful applications spanning various strategic areas in partnership with academic, industry, and government
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teamwork and verbal, written communication skills In-depth knowledge of computer vision and deep learning Demonstrated capability to conduct innovative research We regret that only shortlisted candidates
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original design requirements and specifications. Key Responsibilities: Deep drive into the modification of adhesives with suitable trigger chemicals and investigate the hysteresis heating response under
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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Scientist to conduct research and develop AI models leveraging deep learning and data analysis for carbon measurement, route optimization, and sustainable logistics, enabling improved carbon management and