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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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, non-invasive device to monitor dehydration in a clinical and non-clinical setting. The aim of this project is to pursue research and development in a sensor system for continuous monitoring
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Researcher, you will play a key role in developing next-generation quantum sensors based on photonic technologies, with applications spanning high-tech industries, space, and defense. Your work will focus
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probe microscopy. Our research focuses on using single electron spins in diamond as sensors to explore magnetic phenomena at the nanoscale. This doctoral project will center around the development and
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national grants. You will plan, design, and manufacture our sensor to be used in clinical trials, work on data acquisition and data analysis. The results of your work will not only accelerate your scientific
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sensors and power electronics [1]. With recent advances in diamond synthesis techniques, new opportunities have emerged for quantum-scale applications, including in high-pressure and biomedical physics
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, experimental sensor fabrication, and testing using the optical fiber sensing platform. In addition to conducting research, your duties may also include preparing reports, performing literature reviews
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal