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Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and
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batteries, sensors, switch, electrochemical transistors, with scalable architectures for real-world applications. The School of Electrical and Electronic Engineering is one of the founding Schools of
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batteries, sensors, switch, electrochemical transistors, with scalable architectures for real-world applications. The School of Electrical and Electronic Engineering is one of the founding Schools of
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Assistant (Crop Experiments and Sensing
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sensors that form the basis of intelligent mechanical systems, and their system integration, who can drive research that can lead in fields such as extreme environment mechatronics, advanced
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georeferenced data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image
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by approximately 25 industrial partners which are some of the major NDE users, within a dynamic and inclusive environment. You will have responsibility to: Model and optimise electromagnetic sensors
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Electrolyte-gated organic transistors as sensors of biomarkers of
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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with
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batteries, sensors, switch, electrochemical transistors, with scalable architectures for real-world applications. The School of Electrical and Electronic Engineering is one of the founding Schools of