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to applicants with demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data for economy-wide energy system decarbonization models, in
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training and a significant track record in one of the following areas: -computational biology -computer science -electrical or computer engineering -genomics -neuroscience -population genetics / genomics
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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physical processes (e.g. ocean warming and mass redistribution); 2) conducting sensitivity analyses to identify the roles played by model forcing, horizontal resolution, and ocean-physics representation in
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trade uncertainties on investments, etc.), develop stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational
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://puwebp.princeton.edu/AcadHire/position/40561. We will begin processing applications after November 24, 2025, but applications may continue to be considered after the deadline. The Princeton School of Public and
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processing applications after November 24, 2025, but applications may continue to be considered after the deadline. The Princeton School of Public and International Affairs is committed to building a
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the Department of Chemistry and Prof. Martin Jonikas in the Department of Molectular Biology. Applicants should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals
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stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational energy models to study core policy questions related
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should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals and data. Essential Qualifications: Candidates must hold a Ph.D.; have the ability to work