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Cover letter, CV (including a summary of technical skills), list of publications, research interest statement (a discussion of past research and expertise) and contact information for three references
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discussion of past research and expertise) and contact information for three references. This position is subject to the University's background check policy. The work location for this position is in
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meetings. Additional Information: Applicants must hold a PhD in demography, sociology, epidemiology, or a related field. The work location for this position is in-person on campus at Princeton University
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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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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will
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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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benefit program to eligible employees. Please see this link for more information.
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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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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