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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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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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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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multiple faculty members. Candidates for this position must have completed their Ph.D. degree by the appointment start date; demonstrate outstanding research in theoretical condensed matter physics
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will join a young laboratory with opportunities to contribute to multiple exciting projects, broadly focused on defining the molecular mechanisms of host-microbiome interactions using CRISPR screens