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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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, biochemistry and, increasingly, biomedicine. We are appointing a Research Fellow to develop quantum sensors based on optically readable spin defects (such as nitrogen-vacancy centres in diamond) and translate
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Computer Science at the University of Southampton. The project will involve the development of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen
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of Southampton. The project will involve the development of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. The ultimate aim is to design, test and deploy
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of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. This sensor bolus will be manufactured and used to measure physical and chemical parameters in cattle
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of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. This sensor bolus will be manufactured and used to measure physical and chemical parameters in cattle
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and the environment? Understanding human decision making increasingly relies on analysing very large datasets collected through digital technologies, administrative systems, sensors and longitudinal
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decision making increasingly relies on analysing very large datasets collected through digital technologies, administrative systems, sensors and longitudinal studies. While these datasets offer unprecedented
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candidate will join our Advanced Sensors team and contribute to the 5-year Leverhulme Research Leadership Award project, Sensing Wastewater for Real-Time Public Health. About the Role The postholder’s primary
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annum We welcome applications from a Research Fellow with a strong passion for, and experience in, biosensing, microfluidics and microbiology. The successful candidate will join our Advanced Sensors team