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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
experience running experiments on discourse adaptation; have data to analyze and write up. Prior participation in Dr. Arnold’s project examining language adaptation at the discourse level Special Physical
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limited to: learning technology, information, language, and computing technologies to advance learning, training, cognitive development, and human performance. Position Overview Provides ongoing mentorship
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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sciences, human development, speech and/or language, neuroscience, biostatistics or a closely related field Commitment to supporting an inclusive and diverse laboratory environment Exceptional communication
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opportunities for grant writing and collaborative writing projects are also possible. Qualifications Ph.D. in psychological sciences, human development, speech and/or language, neuroscience, biostatistics or a
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: Proficiency in coding with at least one common programming language such as Python, C++, Matlab, or R. Familiarity in working with data and related software. Preferred Competencies Outstanding verbal and
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closely related field Research Skills: Strong ability to conduct independent, methodical, and responsible research Language Proficiency: Excellent written and spoken English communication skills Motivation
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performance review and funding availability. * The official language at the center is English. * The selected candidate is also encouraged to collaborate with other CTPU-PTC members (faculties: Kiwoon Choi
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alongside that of toddlers experiencing language or other delays by analyzing behavioral trajectories through standardized testing and videotaped interactions with caregivers in combination with sophisticated
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programming language (e.g., Python, Matlab, R) 2. An interest in quantitative methodologies, including computational cognitive modeling and neuroimaging analyses (Note: experience with these methods is not