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                Field
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                point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer 
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                Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design 
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                Title : PhD Position (4 years) in Computer Science / Engineering: Development of a Smart Sensor for Real-Time Monitoring of Dairy Calves Context : Calf health is a major concern for the Quebec, Canada 
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                meteorological stations and occasionally supplemented by opportunistic sensors. The integration of diverse opportunistic sensor data sources [4], such as private weather stations, further broadens the capability 
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                This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will 
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                : 22.08.2025 Job description: As part of the interdisciplinary research project QS4Physics, you will work on developing a platform that enables the integration of such sensors into existing synchrotron beamlines 
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                Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing 
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                for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive 
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                Status: Open Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University... 
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                environmental NCD risk score using statistical and ML methods. Prospective phase: Use wearable environmental and physiological sensors to track exposures and health parameters in healthy volunteers, translating