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highly promising scholar with a background in cognitive science or a related discipline, such as psychology, data science, or empirically informed/experimental philosophy. The scholar's research agenda
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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, mathematical approaches to signal analysis, information theory, structural biology and image processing. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with
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see this link for more information.
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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link https://puwebp.princeton.edu/AcadHire/position/38201 with: - A cover letter, - CV, - Two scholarly papers, - A research statement, and - Contact information for three references. For fullest
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research on relationships between exposure to COVID mitigation policies and a range of life outcomes in mainland China. Successful applicants should have outstanding data management skills, strong
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Jonikas in the Department of Molectular Biology. Applicants should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals and data. Essential Qualifications
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that includes names and contact information of three references. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without
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specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and contact information for three references. This position is subject to the University's background check policy