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environment. We are looking for someone who can support development of a robust workflow for automatic speech recognition (ASR) in audio recordings of dialectal Arabic speech, to generate transcripts for use in
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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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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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, mass spectrometry, chromatography, etc.). Strong problem-solving skills, initiative, intellectual independence, and ability to plan and execute experiments. Excellent written and oral communication
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of spectrophotometric and chromatographic techniques; - have experience in the use of near infrared spectroscopy equipment (NIRs). - have a command of Portuguese and English (written and oral communication). 3. Work plan
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professional curriculum whose profile is suited for the activity to be performed, can submit their applications. Candidate(s) of the contest holding qualifications obtained abroad must prove the recognition
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partners working in hearing, language, aging, and health equity. Key Research Areas: Longitudinal studies tracking speech recognition, cognitive functioning, and quality of life over time in adults receiving
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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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professional curriculum whose profile is suited for the activity to be performed can submit their applications. Candidate(s) of the contest holding qualifications obtained abroad must prove the recognition
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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