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research statement that includes your specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and contact information for three references. This position is subject to
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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to participate in projects that research and refine quantitative methodology for political science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact
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Improving Ocean Surface Boundary Layer Mixing Parameterizations with Langmuir Turbulence and Machine Learning The Atmospheric and Oceanic Sciences Program at Princeton University, in association
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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senior ranks may have multi-year appointments. The aim of the program is to nurture a diverse group of promising scholars. We strongly encourage applications from groups that have been historically
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with the possibility of renewal, pending satisfactory performance and continued funding, with negotiable starting dates for the next academic year. QUALIFICATIONS: Postdocs are expected to have
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specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and contact information for three references. This position is subject to the University's background check policy
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: 267826999 Position: Postdoctoral Research Associate Description: The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related
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The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related to Latin American Studies, including the Caribbean and