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longitudinal studies. Particular analyses will adapt techniques from psychometrics, including item response theory and factor analysis, to analyze the LEVANTE data. These analyses will include examination of how
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most significant genetic risk factor. Individuals carrying one copy of APOE4 have approximately a 4-fold increased risk of developing AD, while those with two copies face a 15-fold increased risk
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or involved in RAPID surveys. This project constitutes a critical component of the New Ecology of Early Childhood (link is external) being developed at SCEC. Key Responsibilities: Conduct statistical analyses
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psychology) or related discipline. Demonstrated interest in measurement of psychological constructs and study of change. Substantial experience with latent variable models (especially factor analysis, item
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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Data Analysis of Patients with Lennox-Gastaut Syndrome About Us: Stanford Pediatric Epilepsy Research is at the forefront of research in neuroscience, focusing on understanding complex neurological
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personalized learning experiences that are both effective and engaging. The first component of this work is to develop AI-augmented tools that enable elementary school-aged children to rapidly create
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. Required Qualifications: A doctoral degree (PhD, MD, or equivalent) conferred by the start date. Proficiency in R/Python Experience with scRNAseq, and/or spatial proteomic/transcriptomic data analysis Growth
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to candidates studying early China using analytical methods such as zooarchaeology, paleobotany, ceramic analysis, and lithic analysis. The successful candidate will be expected to: Teach one course per year