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/edges or the changes in the “normal” concept over time. Once we proposed relevant methods we intend to further extend the approach to be able to detect anomalies in high dimensional settings as the
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the biological experiments are conducted. The intended departure point for this PhD project is to use reinforcement learning, a mainstream AI technique, to model task allocation mechanisms. #sustainability
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in
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throughout my formal education. Significantly, this scholarship means I can begin to make these contributions without the financial burden a law degree entails. I am incredibly grateful and privileged to have
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(formerly Ashton Raggatt McDougall). Steve believed that combining architectural expertise with formal business education is essential to building a successful and sustainable practice. The scholarship
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and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these systems, such as transformer or diffusion networks and reinforcement
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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become overwhelmed, slower to respond, and more likely to overlook genuine indicators of compromise. A range of methods have been explored to reduce false alerts, including provenance-based analysis and
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. This program of work will engage three PhD students, each from a different background (technical, psychology, design/HCI), to contribute their expertise towards enhancing the helpline service and improving
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software is not on the blacklist" (without revealing the exact software). There are multiple aspects of this project. For all aspects, some cryptography background is required. Design and analysis of new