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policy realism in energy models. Specifically, the researcher(s) will be expected to synthesize the insights from the political economy literature (e.g., policy choice and design, impacts of political and
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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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, the researcher(s) will be expected to synthesize the insights from the political economy literature (e.g., policy choice and design, impacts of political and trade uncertainties on investments, etc.), develop
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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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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
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specialized evaluations for students of concern: these include administrative, readmission, exit, and post-hospital evaluations Uses clinical data to inform diagnostic assessments (DSM-V) and treatment planning
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Princeton University, Program in Applied and Computational Mathematics Position ID: 639-PDRA [#26786, PACM2026] Position Title: Position Type: Postdoctoral Position Location: Princeton, New Jersey
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The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term of appointment is based on rank. Positions