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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across
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fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art technical or methodological skills, applying innovative techniques in the examination
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technical or methodological skills, applying innovative techniques in the examination of substantive social science research questions. In addition to innovation, candidates will be evaluated
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Personnel (see policy for detail) Yes Physical Capacity Exam Required No Valid Drivers License Required No #LI-CN1 Salary Range $57,000 to $69,000 PI282537934 Create a Job Match for Similar Jobs About
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Center and partner institutions to couple a global integrated assessment model with a high-resolution subnational energy systems model. By focusing on a few country test cases (e.g., US and South Korea
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technical or methodological skills, applying innovative techniques in the examination of substantive social science research questions. In addition to innovation, candidates will be evaluated
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. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks. The successful candidate will have experience with applied energy systems analysis, economy
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM