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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
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information about the lab, please visit https://mesa-lab.org/. Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging to investigate: 1) How immune cells localize
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interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding Postdoctoral Research Associates with a strong
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/AcadHire/position/37121 and submit a cover letter, CV, Research Statement, Publication list and contact information for three references. Princeton University is an Equal Opportunity Employer . All