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(FPPS). Designed for high-achieving students, MIRAMA provides a unique opportunity to undertake interdisciplinary research at the intersection of health, medicine, and artificial intelligence. Through
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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Performance Computing platform (MASSIVE) to do the experiments.
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, yielding negligible performance gains or even inducing catastrophic forgetting. To bridge the gap between theoretical AL and real-world deployment, this PhD project will develop resilient active learning
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involve designing a multi-agent AI security architecture where different agents perform different roles, such as attack analyst, vulnerability investigator, response planner, patch generator, risk evaluator
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, uncertain, and multi-dimensional nature of student learning behaviours. This research introduces quantum-inspired representations and optimisation techniques to model student engagement, performance
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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clinical response to anti-cancer drugs and determining the precise dosage of drugs on a personalized basis, which precision medicine aims to address. To deliver personalized treatment with high efficacy
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", ICML 2021 - "High Performance Logistic Regression for Privacy-Preserving Genome Analysis", BMC Medical Genomics 2021 - "Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party