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pharmacology to deliver key mechanistic and therapeutic insights. The postholder will employ optical tweezers combined with fluorescence imaging to directly visualise nucleic acid sensor interactions with DNA
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and Europe to establish field experiments, maintain in situ microclimate and tree growth sensors, collect biological samples from soils and plants, subsequent laboratory processing of these samples, and
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on the development and field testing of advanced microfluidic sensor systems for nutrient monitoring in environmental and aquaculture settings. Working under the supervision of the project lead and with other project
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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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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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novel wireless sensor systems and intelligent predictive models to solve one of the biggest challenges in high-speed CNC milling: excessive heat generation. Excessive heat leads to rapid tool wear, poor
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looking for researchers who can help design state-of-the-art swarm hardware for city deployments, cognition using edge-AI and perception, swarm algorithms for city-scale coordination, and interfaces
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unit and then pre-processed data used as the input of the deep learning algorithm. The research will employ the SafeML tool (a novel open-source safety monitoring tool) to measure the statistical
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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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highly sensitive electron spins, acting together as a tiny sensor. Molecules are the ultimate "designer" quantum systems, offering atomic-level tunability, solution processability, and the potential