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selectivity is the first important barrier to overcome in order to perform quantitative analyses for each pollutant and avoid ionic interference between the different sensors used in the project. Sensor
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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
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/ . The group has been working on mmWave radar sensors in different applications, including automotive, indoor sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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wide range of markets such as automotive, industrial and aerospace. Our interdisciplinary field of "Microdisplays and Sensors" is engaged in the development and manufacturing of micro-displays and
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to simulate cascading disaster effects, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and
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? Then this PhD position is for you! Quantum technologies are based on uniquely quantum effects. Among them, sensors using oscillating mechanical systems are especially promising: they can advance
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the classical to the quantum world while developing real-world applications in quantum sensing? Then this PhD position is for you! Quantum technologies are based on uniquely quantum effects. Among them, sensors
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mechanical stress into useful electrical energy, enabling autonomous sensors and systems in demanding industrial and structural environments. The research will involve a combination of analytical modelling
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awareness of road situations that individual sensors alone might miss. This collaboration can help anticipate potential hazards, reduce accidents, optimize traffic flow, and enable more coordinated and