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urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications. The program will also provide fellows with training in
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how we decode cancer biology from spatial multi-omics data. This position offers an exceptional opportunity to build next-generation generative models for complex biological systems, working with large
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primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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, and to utilize the unique data provided by tutoring to better understand teaching and learning. The postdoctoral fellow will contribute to this work by leading one or more of the following research
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political stability Information Flows and Knowledge: Analyzing how TAI affects the spread of information, truth versus misinformation Studying the distinction between real and synthetic data in economic
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factors specific to residual specimens in laboratory medicine. The ideal candidate has the quantitative and computational background to analyze sequencing, high dimensionality data, and be efficient with