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. Applicants should upload: -a cover letter -statement of research -teaching background, interests, and philosophy -curriculum vitae -contact information for three references as part of the application process
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the start date. The position will start on or about September 1, 2026. The researcher will be asked to participate in the Time in Politics Project that focuses on psychological processes related to time (such
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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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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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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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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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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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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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philosophy -curriculum vitae -contact information for three references as part of the application process. Applicants must apply online at: https://www.princeton.edu/acad-positions/position/38481 This position
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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