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on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution earth system model data, with an emphasis on Seamless
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psychology. Initial appointment is for one year with the possibility of renewal based on satisfactory performance and continued funding. Essential Qualifications: PhD in a relevant field. Interested
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Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral Research Associates. DDSS supports technical and methodological innovation in
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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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should submit a curriculum vitae, a publication list and a research statement, and provide contact information for three references by November 1, 2024 11:59 (EDT). Candidates may also include a cover
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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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leading and mentoring graduate and undergraduate students. A PhD in relevant fields of energy storage, electrochemistry, and materials characterization is required. Experience with solid electrolytes
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research and to their own work. Eligible candidate must have less than five years of post-PhD research experience prior to anticipated start date. This is a one-year term position ideally starting September
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. Additional Information: Applicants must also hold a PhD in demography, sociology, epidemiology, or a related field. They must also be able to regularly work in person at OPR. They will receive full employee
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to conduct numerical studies for non-local flow-driven magnetized plasma instabilities and their associated nonlinear transport in astrophysical and laboratory plasmas. The applicant is required to have a PhD