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Field
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of the post-doctoral researcher will be to engage in the design and testing of programs and curricula for young children learning two languages in educational classrooms and testing and tracking the impact of
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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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the Department of Speech and Hearing Sciences and Institute for Learning & Brain Sciences University of Washington: Academic Personnel: College of Arts and Sciences: NATURAL SCIENCES DIVISION: Speech & Hearing
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate
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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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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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, programming languages, or architecture. This is an open research area position, and the department welcomes applicants from all areas of computer science & engineering who demonstrate strong potential
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strong publications. Excellent scientific writing ability and good communication skills are essential. Ability to multi-task and work cooperatively with others. Knowledge of scientific programming language