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and digital aspects. By understanding how threats propagate and interact, you will develop comprehensive models that also include the often-overlooked human aspect. These models will help predict
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criticality, and attack likelihood. You will develop a systematic method to identify at-risk system assets, creating a crypto inventory for analysis. Using techniques like Attack Trees, you will predict
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and tailored cybersecurity measures. You will join the Cyber Security Research Group recognised as Academic Centre of Excellence for Cyber Security Research (ACE-CSR) and Education (ACE-CSE), and work
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to rapidly test if bacteria are being killed by bacteriophages. This project will work across disciplines of biology, electronics and medicine to develop new approaches. Our team combines expertise in three
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cause of death by 2050, and novel approaches to diagnostics are urgently required. This PhD project will develop a rapid electrical technology that can determine whether a bacterial infection is
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, protect the environment, and extend the lifespan of both railway vehicles and infrastructure. The aim of the project is to investigate and develop a comprehensive understanding of the mechanisms behind
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, this opportunity is for you. Under the guidance of experienced supervisors, you will have the opportunity to: Develop mathematical and computational models that unravel fluid-structure complexities; Bridge the gap
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. The aim of the project is to develop and study game theoretic models for finding optimal strategies for sensing and jamming in the presence of devices to be surveyed or jammed, while considering the multi
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a medical diagnosis based on a similarly spurious rule such as visible marks left by medical previous treatments . It is therefore difficult to ensure that the models we train are reliable
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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a