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Fully-funded PhD Studentship in Metamodelling of Speech Domains School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Thomas Hain Application Deadline: 19 April
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for all its members. Candidates will not be disadvantaged or adversely impacted for exercising their free speech within the law during our recruitment processes. For more information, see our Freedom
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. Preferred Education and Experience Preferred Experience Experience with Speech, EEG, and fMRI data collection and analysis as well as computer programming is preferred. Other Qualifications To the extent
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project. Project website here: https://generationsoflondonenglish.org/ . The post-holder will undertake research activities to support the ongoing acoustic analysis of a large child speech dataset, and the
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on the effect of the language environment on auditory speech processing during early development. The postdoctoral researcher will actively participate in experimental design, data collection and analysis, and
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gestures and multimodal speech. - Familiarity with multimodal speech processing software (ELAN, Praat, Anvil, or equivalent): development of comprehensive annotation templates/schemes (hierarchical
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con PyTorch o TensorFlow / Experience with PyTorch or TensorFlow Conocimientos de procesamiento del habla o audio ML (valorable, no obligatorio) / Knowledge of speech processing or audio ML (valued, not
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speech processing, a research question that is rapidly gaining in importance. The project is centred on the hypothesis that the cerebellum conveys predictions about upcoming speech sounds to the neocortex
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for speech and audio processing. Implementation of systems for participation in competitive technology evaluations. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo/contrato
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simulation, usability evaluation, or human factors Familiarity with speech processing, speaker diarization, or ASR Knowledge of explainable AI methods (SHAP, LIME, attention visualisation) Exposure to clinical