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continued funding. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37561 and include a cover letter, curriculum vitae, research statement and contact information for three
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/position/37701. Please upload (1) a recent CV, (2) publications list, (3) a research statement, and (4) contact information for four (4) referees, who will be asked to provide letters of support. This
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, see http://web.astro.princeton.edu/jobs. Interested persons should submit a curriculum vitae, a publication list and a research statement, and provide contact information for three references by
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leverage these models to assist the experimental groups with experimental design and multimodal data analysis of neurophysiological, causal, and behavioral data. Essential qualifications for this position
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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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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