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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian ERI@N is establishing capabilities and physical test setups to support
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of control theory and its applications, including PID controllers, state-space control, and advanced control techniques for mechatronic and robotic systems. Sensors and Actuators: Knowledge of various types
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functionalities for quantum technology. The department hosts the ERC Consolidator Grant QPHOTON (PI Ville Maisi), which aims at building microwave photocounters as new measurement sensors for quantum technology
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this impacts forest restoration efforts. You will form an integral part of the Selva lab team led Dr Tommaso Jucker (https://www.selvalab.org ), and will work closely with two postdoctoral researchers and three
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental
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talented and versatile PhD student to develop digital biomarkers from continuous, real-world sensor data. Progressive supranuclear palsy (PSP) is a form of atypical parkinsonism characterized by its highly
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for skin impedance measurements. 2. Selection of optical sensors to correlate optical measurements with impedance measurements. 3. Evaluation of impedance sensor performance through skin simulator testing
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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML