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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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drugs at the target site, using only an internal battery and on-board sensors for fully autonomous operation. The overarching goal is to develop a battery-powered ingestible capsule that autonomously
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parcel delivery and environmental sensing. Equipped with diverse onboard sensors, including cameras and GPS, delivery UAVs hold significant potential for urban sensing applications such as infrastructure
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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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field studies, and innovative design strategies will be developed that incorporate corrosion-resistant materials, optimised configurations, and embedded Internet of Things (IoT) sensors to monitor
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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, stable and radiocarbon isotopes, pyrogenic carbon, microclimate) and develop a new soil microcosm experiment. Training will include tropical field methods, environmental sensors, experimental design and
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can do mechanical work, long a dream of science fiction, for instance for implantable biodevices in healthcare, chemical remediation, or low cost sensors. One promising direction is to integrate