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development – particularly in how longitudinal study designs contribute to our understanding of human development and the psychological changes processes. The lab develops and uses novel longitudinal methods
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greatest challenges. Contacts For enquires on projects and application process: Matteo Molè at mmole@stanford.edu (link sends e-mail) , office phone: +1 (650) 7362 754. Further information on research can be
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your status; you will be contacted by the faculty lead if you are advancing in the review process. Required Qualifications: Completion of all doctoral requirements within the past three years and no
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behind these processes, we aim to develop interventions that delay the progression of Alzheimer's-related dementia and promote successful aging. Required Qualifications: PhD in Cognitive Neuroscience
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apply cutting-edge deep learning models, including LLMs, to process and analyze large-scale EMR datasets. Design predictive models to assess disease trajectories, treatment outcomes, and patient risk
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to the microbiome/metabolome. Superb quantitative background, strong coding skills (e.g., Python, R, MATLAB). Strong computer skills, experience with databases and scientific applications, and ability to quickly
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critical materials supply chain. Key Responsibilities: Conduct research on the computational design and discovery of novel processing reagents for the selective separation and extraction of critical minerals
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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with a broad focus on equity-related issues in education or early childhood development/education processes Eligibility Criteria and Restrictions: Because this is a federally-sponsored training program
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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models