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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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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 to