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of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly integrates basic research, applied research, and societal
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the relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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, financial mathematics and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal
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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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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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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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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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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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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