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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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; • Proficiency in programming; • Proficiency in additive manufacturing-related software, including 3D modelling and path planning; • Ability to integrate sensors (e.g. laser scanning, thermal imaging) for
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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conferences, presenting results to stakeholders and industry experts. Job Requirements: Ph.D. in electrical engineering, computer science, or a related field, with a strong background in AI/ML, wireless
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nanocomposite and supramolecular materials for next-generation integrated sensor arrays. This role supports innovation in intelligent sensing technologies, contributing to the development of scalable
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Expertise in robotic system Familiar with ROS1 / ROS2 Good publication track record is an advantage. A thorough knowledge of the research field of localization and sensor fusion is highly preferred
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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-making algorithm for autonomous vehicles. The work will involve sensor fusion, perception, trajectory prediction and test rig set-up, and experimental validation. Job Requirements: PhD Degree in Vehicle