160 assistant-professor-and-data-visualization Postdoctoral positions at Princeton University
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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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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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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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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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demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data for economy-wide energy system decarbonization models, in the production of spatially
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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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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
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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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://puwebp.princeton.edu/AcadHire/position/36023 and submit a cover letter, CV, research statement, and contact information for three references. This position is subject to the University's background check policy