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: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Create databases and reports, develop algorithms and
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students in H&S engage in inspirational teaching, learning, and research every day. Stanford Institute for Research in the Social Sciences (IRiSS) Expanding access to novel data sources, the development
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will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
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into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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disease progression. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will
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with an initial focus on San José, CA. Both projects are in their early stages and will provide ample opportunities to lead and build out. Your responsibilities include: Develop and manage research