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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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downtime and operational costs. Traditional condition monitoring approaches often face challenges in accurately detecting early-stage faults, especially in the presence of highly impulsive signals
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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stations. To achieve this goal, the candidate is expected to conduct the following: (1) Remote condition monitoring system . Develop a system to manage the working conditions of e-bike charging stations
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-Watt University and the University of Edinburgh aims to develop a new generation of biosensing textiles for real-time physiological monitoring. Location: School of Textiles and Design, Heriot-Watt
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Netherlands Application Deadline 18 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
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Feb 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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will work in a wide range of projects. The projects collectively show how sustainable forestry research combines advanced monitoring tools, ecological studies, and genetic approaches. They range from
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Aldosteronism -Out-of-Hospital Diagnosis & Monitoring Apply for this job See advertisement PhD position There is a vacancy for a PhD Research Fellow in Wearables and Biosensors in Out-of-Hospital Diagnosis and