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multimodal sensor systems—both as standalone sensor solutions and as networked sensor systems. Implementation is carried out as embedded systems in the laboratory as well as for deployment in field experiments
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, thermal, electromagnetic or kinetic), are critical for the sustainable operation of wireless IoT devices and remote sensors. The world can reduce reliance on batteries and fossil-fuel-derived power if more
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mortalities, economic loss, and human health risks through contaminated seafood. A low-cost, deployable sensor network based on mussels could provide real-time environmental intelligence, supporting regulatory
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authentication address digital risks, the physical interfaces of CPS (such as sensors and communication links) remain vulnerable and are often overlooked. A system cannot easily distinguish between genuine and
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to operate as a coherent network. This requirement can be theoretically fulfilled in a number of ways, including hardware approaches, e.g. the (wired or wireless) dissemination of the same clock signal
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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of data converters, such as wireless communication, UWB ranging and automotive radar. It is worth noting that this research forms a crucial part of a collaborative initiative within a pan-European doctoral
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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster
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capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
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decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g