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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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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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abdominal symptoms. Standalone clinical indicators like CA125 or traditional screening algorithms (e.g., ROMA) frequently produce ambiguous results or lack sufficient sensitivity for early detection
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the design, analysis, or implementation of algorithms strong programming skills; experience with Magma or another computer algebra system is highly desirable experience with C/C++ and Linux
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. An emerging research profile in the dynamics of open quantum systems, quantum computing, and/or resource analysis of algorithms for fault-tolerant quantum computers. Experience in nonequilibrium statistical
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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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. Design computer vision models to estimate tool-to-retina distance and generate accurate three-dimensional navigation waypoints. Develop and validate AI algorithms using simulation, sim-to-real transfer
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can
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human-centred embodied AI New methods for modelling human behaviour and interaction dynamics Multimodal temporal and predictive learning algorithms Experimental evaluation against strong contemporary