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of late language emergence in both typically developing infants and those at risk for language delays. Leveraging longitudinal EEG and behavioral assessments, the research seeks to discover early markers
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language emergence Position Details Position Description The University of Washington’s Department of Otolaryngology–Head and Neck Surgery and the Virginia Merrill Bloedel Hearing Research Center has an
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Institute for Learning & Brain Sciences (I-LABS) has an opening for a bilingual (Spanish-English) post-doctoral researcher interested in bilingual language development in young children. We are focusing
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. - Biomedical Engineering, PhD or terminal degree or combination of education and experience may substitute for minimum education. - Neuroscience, PhD or terminal degree or combination of education and experience
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social interaction and their relation to developmental language and social outcomes. The project includes studies across two different locations. The primary location for this position is in Seattle, with
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agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. The position has an anticipated start date of October 1, 2023
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scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor
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are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website
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scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data