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analysis, contributing to both academic scholarship and broader public conversations; collaborations will take place with faculty, researchers, students and senior administration colleagues. This position is
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the social sciences. Experience with advanced quantitative survey development, data collection and management, and multivariate statistical analysis is required. Qualitative experience is desired but
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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a