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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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Crockett in the Department of Psychology. We aim to support a highly promising scholar with a background in cognitive science or a related discipline, such as psychology, data science, or empirically
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, synthetic biology, yeast genetics, or control theory is a plus but not necessary. Ph.D is required. For more information, please visit: https://scholar.princeton.edu/jlagroup. Princeton University is
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. Applicants should upload: -a cover letter -statement of research -teaching background, interests, and philosophy -curriculum vitae -contact information for three references as part of the application process
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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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; a published paper written in the past three years; a statement of no more than 1,500 words describing the doctoral dissertation and proposed research project; uploaded contact information for three
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@princeton.edu. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37701. Please upload (1) a recent CV, (2) publications list, (3) a research statement, and (4) contact information
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with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g. optical parametric amplifiers), electrical switching, high
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for additional information. POSITION SUMMARY The position provides direct clinical services to our undergraduate and graduate student population, including urgent care and crisis intervention, psychological
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-contact information for three references as part of the application process. Applicants must apply online at: https://puwebp.princeton.edu/AcadHire/position/38481 This position is subject to the