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levels. The targeted application will concern multi-sensors based systems for autonomous vehicles embedding AI perception or decision modules. The experiments will rely on embedded platforms available
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for skin impedance measurements. 2. Selection of optical sensors to correlate optical measurements with impedance measurements. 3. Evaluation of impedance sensor performance through skin simulator testing
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service Members and Veterans. To learn more, visit: https
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sensor systems for monitoring is also planned. The work plan therefore includes: 1) Development of the innovative LSF profile and numerical simulation for parameterisation of the solution; 2) Development
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to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team
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following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf . The current minimum salary range
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sensing, and new applications of extreme sensors. One major theme of our research is the study of quantum effects in atomic systems and the light that is used to measure them. At the most fundamental level
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wastewater. This includes sensors and sensor networks for detection of these targets and testbeds for the validation of technologies developed. INSTITUTIONS HIRING: Northwestern University University
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban