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campus in linguistics, computer science, psychology, and otolaryngology. Applicants are expected to apply for independent funding through Stanford-internal mechanisms and/or external sources such as NRSA
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research, machine learning or artificial intelligence (e.g., large language models, EHR foundation models), causal inference (e.g., target trial emulation), and child health research. The research program
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the measures in real-world educational settings with children from diverse language, racial/ethnic, and socioeconomic backgrounds; and (3) disseminating research results and the assessments themselves
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demonstrated ability to work with large language models (LLMs) and unstructured clinical text from electronic health records (EHRs). Desired technical skills include prompt engineering, few-shot and zero-shot
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, biostatistics, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational
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, RedCap). Conduct field monitoring and troubleshoot real-time data collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale
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the Education Data Science program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education program and the initiative on Learning Differences and the
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management decisions. In some cases, science advancements will be necessary to meet the needs of partners. In all cases, capacity development (i.e. teaching partners to use natural capital approaches) will be