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classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr
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contribute to research using controlled but naturalistic video-based language comprehension paradigms, MEG and rapid invisible frequency tagging (RIFT) to quantify attention to, and integration of, auditory
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of Music could host a fellow with some existing experience in audio and/or video production and with any related qualification to retrain on the production of audiovisual media for teaching and research
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collaborative environment. Unable to show this video due to your cookie preferences
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host a fellow with some existing experience in audio and/or video production and with any related qualification. The fellow could retrain on the production of audiovisual media for teaching and research