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advance next-generation hearing assistive technologies through machine learning and statistical signal processing. The research in the centre focuses on enabling robust, real-time speech understanding in
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, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking these with existing survey data. The PhD student will contribute to international journal publications
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into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics The objective
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background or keen interest in statistics, statistical analysis, and surrogate-based modelling would be considered an asset. Qualification requirements PhD stipends are allocated to individuals who hold a