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secondments to at least two Beneficiary/Partner Organisations. HUM.AI.N-ACCENT is an interdisciplinary research project that explores the neurocognitive and social impacts of foreign-accented speech in human
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Speech & Hearing Sciences Title: Research Assistant Professor of Speech and Hearing Sciences Position Details
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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their integration with other communication modalities such as motion, gaze, or speech. The work will combine robotics, human–robot interaction, and experimental methods, involving the development
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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criteria: A first-class or strong upper second-class undergraduate degree with honours in Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following
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How does the human brain combine what we hear with what we see during language processing? Why can language users so effortlessly integrate auditory signals, such as speech, with visual signals, such as
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different communication channels (speech, gesture, gaze, prosody, etc.) work together, and developing AI methods to model these signals. Below are a few example research directions that applicants can
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international group, so good written and oral communication skills in English are mandatory This is a wet-lab position, so applicants with purely (bio-)informatics background will not be considered. For inquiries
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frameworks (PyTorch, TensorFlow, or similar) Solid foundation in computer vision and image processing techniques Excellent written and oral communication skills in English Ability to work independently and as