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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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are sought. Applicants will have an engineering PhD, or equivalent degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed
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modeling, who are motivated to incorporate their methods into energy modeling.All applicants must demonstrate strong research capabilities, be comfortable working in an interdisciplinary environment, possess
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
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employment. Individuals with expertise in relevant modeling methods are encouraged to apply, including but not limited to integrated assessment modeling, energy systems modeling, supply chain modeling, etc
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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. Individuals with a passion for interdisciplinary energy-system decarbonization studies aiming to inform policy and investment decision-making are sought. Applicants will have an engineering PhD, or equivalent
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The Princeton School of Public and International Affairs at Princeton University invites applications for postdoctoral research positions from individuals with a PhD degree in related disciplines