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undisturbed areas, or expand from landslipped zones into adjacent stable regions. These insights will provide vital information to improve hazard modelling and mitigation strategies in vulnerable regions
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fluctuate across tidal to seasonal timescales, as existing data consists primarily of isolated measurements. Understanding coastal Ca²⁺ and Mg²⁺ dynamics across ecological timescales is crucial for advancing
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Overview Dr. Hana Aliee wishes to recruit a student to work on the project entitled: Generative Modelling for Foundational Discovery in Biomedicine. For further information about the research group
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ballot may leak the voter’s preferences if published publicly in plaintext, as the ranking order can reveal detailed information about the voter’s identity. Therefore, encryption is necessary to hide
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and the potential effects of this method of fishing on scallop stocks, other species and the wider ecosystem. Through analysis of existing data, aquarium and field-based experiments, and modelling
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intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
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information processing inefficiencies? A phenomena we have dubbed the bilingual communication “paradox”. It is clear that understanding how and why people voluntarily switch languages remains a key issue in
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the deployment of immersive technologies in user experiences, simulation and engagement. Key Contact For further information and informal enquiries regarding the role, please contact Professor Chris Bussell, Pro
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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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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. The project will be