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Field
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for IoT Wireless Sensor Networks Project Overview: We are looking for an outstanding Postdoctoral Researcher to join our ERC-funded project focused on solving one of the most pressing challenges in
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sleep patterns, gaining insights into sleep-related issues, and personalised sleep health management. However, the dynamic nature of sensor networks caused by frequently adding and removing nodes has
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Wireless Sensor Networks for Localisation in Indoor and Outdoor Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application
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experimental setups involving camera systems, IoT sensor networks, or embedded sensing platforms. Experience designing and conducting experiments in aquaculture, animal science, or environmental biology is
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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advertised that focuses on investigating welding fume behavior based on a multi-sensor network. The sensor network consists of a digital camera, a light barrier, and machine-integrated photodiodes. The models
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heterogeneous and opportunistic sensor networks. Therefore, such an approach may significantly improve rainfall and runoff predictions. Research goals: Our primary goal is to improve the accuracy and prediction
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sensor technologies. The aim of the research is the development and application of digital networked monitoring and sensor technologies that take into account the values and needs of patients, caregivers
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors