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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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channel fidelity. Several of the targeted 6G frequency bands are even being considered for extremely high frequency bands such as the W-band (75–110 GHz) and the D-band (110–170 GHz). In order to achieve
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adversarial attacks or evasion techniques specifically targeting encrypted traffic analysis. It also seeks to ascertain whether the system can detect subtle or slowly developing attacks that attempt to mimic
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-engineered cyber-range which is available to the project to simulate a wide variety of target systems and set-ups. By combining established cybersecurity practices with adaptive AI-driven techniques
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to develop enhanced NbS strategies that target micropollutant removal and remain compatible with other ecological and environmental benefits. The aims of this project are therefore to 1) benchmark the long
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targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle from material
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of target species distributions by combining species presence/absence with environmental data to predict wider-scale fish distribution and identify niches Use data and models to identify: i) additional
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uncover cellular mechanisms of neurovascular dysfunction in Alzheimer’s disease and identify potential therapeutic targets. The successful candidate will be part of a collaborative team researching myelin
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significantly reduce carbon emissions and bolster global efforts to achieve net-zero targets. Despite considerable advancement in their operational performance, their life cycle impacts, including raw material
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system