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Computer Science, Natural Language Processing (NLP), or a related discipline. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405692/research-fellow-in-… Requirements Additional
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Description The current project aims to investigate how music rhythm can be used to benefit speech/language processing. Both short-term rhythmic stimulation paradigms (i.e., rhythmic priming), and long-term
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Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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(R3) Positions PhD Positions Country Ireland Application Deadline 30 Jan 2026 - 12:00 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU
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Engineering » Other Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Ireland Application Deadline 20 Feb 2026 - 23:59 (Europe/Dublin) Type of Contract Temporary Job
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
response to the therapist’s and robot speech cues. Knowledge and experience in programming, robotics, machine learning methods, and signal processing is necessary. Profile 3 (RAT4Autism-imitation): this task
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experience in one or more of: paediatric speech and language, linguistics, voice, adult developmental disability, literacy across the lifespan, First Nations’ health, or swallowing across the lifespan. PhD
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requires: A master’s degree or PhD in speech-language pathology or communication sciences and disorders A background check is required for employment in this position. The following credential and experience
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Internal Number: 5885213 Adjunct Faculty, Speech-Language Pathology - Ruskin, FL Position Summary: Gannon University's Morosky College of Health Professions and Sciences is seeking qualified adjuncts
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk