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- Assist the coordination and administration of the SNAPP Advancing Equity project, including in person and online meetings and workshops; - Contribute to communication and dissemination efforts WORK
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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that will help to identify the source(s) of critical minerals through the supply chains as well as developing geochemical and isotopic tracers to delineate possible environmental effects and impact on water
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statistical modeling, including latent growth curve models, multi-group structural equation modeling, latent trajectory analyses, and hierarchical linear modeling to support project research objectives
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this postdoc experience will help you achieve your goals, 1-page description of your proposed interdisciplinary research project, and contact information for at least three references. For questions pertaining
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of Medicine—are seeking a post‑doctoral scientist to contribute quantitative and modeling expertise to two major research projects. The principal investigator of the first project, Professor Osondu Ogbuoji, is
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, or history museum. The Fellow will take part in the intellectual life of CDS and the History Department and assist in the development of collaborative projects that link History and CDS and draw on the talents
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• Collaborate with interdisciplinary teams and participate in project meetings, progress reporting, and data synthesis • Publish research findings in peer-reviewed journals and present results at conferences
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) Collaborating with the PI on a grant-funded, faculty-led research project exploring the use, regulation, and political consequences of emerging fintech products like earned wage access, digital buy-now-pay-later
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Program, and the field site in Kenya, and engage with investigators at all sites across various disciplines. The project will focus on conceptualizing, innovating, and implementing data-driven approaches