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Field
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microclimates that demand dense sensor networks and reliable data retrieval. This project focuses on developing nature-inspired hardware to deploy Internet of Things (IoT) sensors in forest ecosystems. Combining
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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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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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- Rad) provide continuous but coarse radiative fields (5–30 km). High-resolution sensors such as Sentinel-2, Landsat, ECOSTRESS, and SDGSAT-1 offer fine spatial detail but sparse temporal coverage and
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on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors for water quality monitoring do not
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security. We have a wide network of long-standing international collaborators all
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sensors and vision systems Life sciences Low cost and low power radar sensing systems Photovoltaics Power to Molecules Sensor solutions for Internet of Things Silicon photonics Solid state batteries System