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, students, and the wider public insights into how language changes and into the social dynamics of contemporary Western cities. The London English Corpus includes samples of speech from several neighbourhoods
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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. The Hearing Systems Section is part of the Department of Health Technology. Our research focuses on auditory signal processing and perception, speech communication, technical and clinical audiology, auditory
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of samples of speech from a range of neighbourhoods of London, age groups, social class backgrounds, and ethnicities. The advertised role will combine scholarly research in sociolinguistics with opportunities
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laboratory or technical equipment. 3. Basic proficiency in programming or scripting (e.g., Python, MATLAB, or similar) for data processing or device control. 4. Ability to set up, calibrate, and
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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
to misapprehensions about the outer planets and moons. In addition, many images were never processed in to full color and remain monochromatic. Digital image processing has now advanced significantly, permitting new
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge