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conversational state of the art multimodal language analysis (such as motion capture and automatic speech recognition), as well as neuropsychological, psychological methods related to multimodal language and
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conversational state of the art multimodal language analysis (such as motion capture and automatic speech recognition), as well as neuropsychological, psychological methods related to multimodal language and
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Knowledge of speech processing or sign language recognition Track record in low-resource or few-shot learning Interest in accessibility or assistive technology research Grant writing and project management
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opportunities for training in a range of linguistic, and conversational state of the art multimodal language analysis (such as motion capture and automatic speech recognition), as well as neuropsychological
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research progress through formal and informal reports and communications. Undertake additional duties as reasonably requested by project leaders, commensurate with the role. Essential Criteria A PhD (or near
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on advancing technologies and methodologies to improve multi-speaker conversational understanding in real-world environments Core Responsibilities: Conduct research in robust automatic speech recognition
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on advancing technologies and methodologies to improve multi-speaker conversational understanding in real-world environments Core Responsibilities: Conduct research in robust automatic speech recognition
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) Positions PhD Positions Country Portugal Application Deadline 17 Sep 2025 - 17:00 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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3 Sep 2025 Job Information Organisation/Company Universidade de Aveiro Department Física Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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on the north shore of Long Island and is readily accessible from New York City via the Long Island Railroad. Position Requirements Candidate must have (or expect to soon receive) a PhD in a quantitative field