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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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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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substantial component of the work focuses on large scale empirical research in international macroeconomics and finance. The Global Capital Allocation Project (GCAP) Lab mixes data, economic theory, and
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theoretical modeling, remote imaging, and direct observation. Our research has both fundamental and applied elements. The successful candidate will demonstrate exceptional academic achievement and promise, and
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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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factor. However, non-U.S. scholars must be eligible for a J-1 visa, (with sponsorship from Stanford). Exceptions must be discussed with program administration. Email energy_postdoctoral_fellowship
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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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of the adaptive immune response to blood coagulation factor proteins deficient in individuals with the inherited bleeding disorder hemophilia, namely factor VIII and factor IX. The goal of the laboratory’s work is