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Field
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biomarkers and their integration with nanoplasmonic sensors to develop next-generation, non-invasive platforms for disease detection and longitudinal monitoring. The Role Led by Prof. Dan Lambert and a
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wireless communication protocols (LoRa, 4G LTE and 45G, Wi-Fi) and data telemetry systems Hands-on experience integrating sensors into mobile or stationary machinery platforms, including wiring, mounting
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multidisciplinary team to lead a field-based study characterizing volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor
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research lies in the development, integration, and use of mobile and autonomous sensors for monitoring environmental changes in agricultural landscapes. The sensor systems are intended to provide data
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include multiple laboratories featuring a range of collaborative and non-collaborative robots, industrial autonomous vehicles, mobile robots, mobile manipulators, state-of-the-art sensors, robotic hands
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The successful PhD candidate will contribute to the scientific development, implementation, and evaluation of a mobile app. Working within a highly multidisciplinary team of psychologists
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free PhD. Are you passionate about micro-sensors and propulsion systems? We are seeking a motivated and innovative scientist with a strong background in mechanical engineering, electrical engineering
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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biomarkers and their integration with nanoplasmonic sensors to develop next-generation, non-invasive platforms for disease detection and longitudinal monitoring. Led by Prof. Dan Lambert and a
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mobility and vulnerability to falls. The project will combine physiological sensory biomarkers with postural control, gait analysis and real-life mobility measurements obtained using wearable sensors and