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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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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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, 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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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
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statistics. The successful candidate will be hosted by the Connectivity Section that is part of the CLASSIQUE center. The Head of the Section on Connectivity, Prof. Petar Popovski, is also the Director of