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for Quantum-enhanced, distributed radar signal processing techniques that maximise target Signal-to-Noise Ratio (SNR). The algorithms we will derive will be applied and tested in the context of target detection
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, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
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species interactions and with the environment. Holistic, community-level approaches are still largely missing. In this project, the DR will develop state-of-the-art AI algorithms to monitor and predict
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; Analysis; Bubble Dynamics; Combinatorics, Probability and Algorithms; Continuum Mechanics; Geometry and Mathematical Physics; Mathematical Biology and Healthcare; Mathematical Data Science; Nonlinear Systems