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(incl. roads, railways, and waterways) as well as their associated engineering structures (bridges, retaining walls, noise barriers, and hydraulic structures). A wide range of remote sensing data may be
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to cases with low signal-to-noise ratio and low-power operation. A first research direction will focus on investigating innovative energy harvesting techniques aimed at powering sensors without the use
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, high vibration levels, and complex magnetic field behavior. This research project aims to propose design optimisations to enhance the performance of BDFMs and position BDFMs as a competitive alternative
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test whether granular vibrations – “granular heating” – are what weakens these flows and lets them run so far. Working with Dr Eric Breard in the School of GeoSciences and with international partners
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of classical telecom networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence
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an error, GNSS-IR analyses variations in signal-to-noise ratio (SNR/CN0), phase and related observables caused by interaction of the GNSS signal with the land surface. These reflected signals contain
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vibration training combined with transspinal direct current stimulation (tsDCS); conducting neurophysiological experiments under the supervision of the project manager; assisting in the organization
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problems” and under this vision, it has contributed many fundamental new ideas in circuit design. The IC Design group has made high-impact inventions in analog filters, thermal noise cancelling amplifiers
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observations of sub-Neptune exoplanets, with a focus on the most promising water world candidates. Develop analysis techniques to disentangle planetary signals from instrumental artefacts and stellar noise
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trade-offs between bandwidth, noise, linearity, power, and cost. Contribute to scalable electronic solutions for future AI-driven optical interconnects. Design, implement and characterize the most