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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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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
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relative to field experience. Contribute to the Council for the Accreditation in Audiology and Speech-Language Pathology (CAA) accreditation process in areas related to clinical education and the collection
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licensed speech language pathologist. The successful candidate will join an established program and faculty within the CBU College of Health Science. For more information about this position, please contact
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in content, lexical choice, prosody, and acoustic features. These speech
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under general supervision, the Staff Per Diem Speech Language Pathologist works directly with patients across the lifespan in a
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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, diagnose, and treat pediatric clients with diverse speech, language, and communication disorders continuously through the contract period, except dates observed as UofM holidays (http://www.memphis.edu/hr