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process can be directed to: Dana Urbanski, urbanski@iu.edu , Department of Speech, Language and Hearing Sciences, Indiana University Bloomington Additional Qualifications Salary and Rank Special
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/Machine Translation. Practical experience using a wide range of technologies, including: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation tools, eye-tracking, Automatic Speech
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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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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal
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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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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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language processing Develop and curate multimodal, multilingual resources for low-resource languages Design, implement, and evaluate methods that leverage multimodal signals, such as images and speech, to improve
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project focusing on the neural markers of stuttering, the recruited individual will be responsible for the preprocessing, processing, and analysis of data obtained from functional neuroimaging (fMRI
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demonstrations of immersive/interactive technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding). The role is based at the Centre for Vision, Speech and Signal Processing
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English: Dialect and Social Change in Real Time. Project website: https://generationsoflondonenglish.org/ Led by Principal Investigator Professor Devyani Sharma, the project and corpus represent the largest