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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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longitudinal change for a full time, 1 year (potentially renewable) appointment in the Department of Psychology or Graduate School of Education at Stanford University. The aim of the post-doc is to develop
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