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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 robotic
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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for Conservation (ICON) team assessing the implications of human-predator-prey interactions in East Africa and the Peatland Intelligence Programme evaluating peatland sites in the Lake District and beyond
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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. The system will reduce maintenance time by 40%, cut oxygen and fuel consumption by 50%, and lower overall costs by 30% through reductions in waste and rework. Multi sensor fusion and material modification
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wearable sensing device for monitoring critical fetal and maternal parameters. The project will involve the development and optimisation of a prototype pregnancy activity monitor based on optical fibre
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self-motivated research fellow to join our team for the following key tasks • Sensor Hardware Development: Design, prototype, and validate miniaturized, wireless sensors for physiological and
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of integrated microfluidic platforms for specific disease applications, including cardiovascular disease. Key Responsibilities: • Design, prototype, and optimize passive microfluidic devices integrating plasma
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contribute to embedded systems development, sensor integration and deployment of prototype devices. Research Fellow - Poultry Systems Validation This role will be based primarily within NTU's Poultry Research
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: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme