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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
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payment models (e.g., Accountable Care Organizations and bundled payment Initiatives) on healthcare value and equity for older adults Changing market dynamics of the growing Medicare Advantage program
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Ph.D. in political science or an allied field, a strong commitment to tackling important questions with rigorous social scientific methods, deep regional expertise, excellent teaching skills, and a
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serve as lead or supporting designer for numerous exhibition and collection gallery projects, guiding them from concept to production and installation. Job-Specific Responsibilities: Produce installation
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hands-on experience and skill in using novel spatial and geospatial data sources, advanced analytics, and computational modeling. Areas of focus through which qualitative and quantitative data can be
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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is open with respect to subfield, with particular interests in American Politics and International Relations, as well as scholars who can advance research and pedagogy in quantitative methods or formal
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funding to support the position. Basic Qualifications Bachelor’s degree in statistics, biostatistics, epidemiology, data science, computer science, or closely related field with 2+ years of relevant
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-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis. The position focuses on developing AI agents inspired by and applied to complex