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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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at Princeton University.To apply online, please visit https://www.princeton.edu/acad-positions/position/37121 and submit a cover letter, CV, Research Statement, Publication list and contact information
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doctoral degree in a related field. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/39241 and submit a cover letter, curriculum vitae, contact information for three
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-person on campus at Princeton University. Information about the research activities of the Department of Geosciences may be viewed at https://geosciences.princeton.edu. Expected Salary Range: $65,000
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positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-25-LPB-00004 PI277839321
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information for three references. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued
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, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge
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: 275950536 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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, research statement, and contact information for 3 references). The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background
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: https://www.princeton.edu/acad-positions/position/38801 and include a cover letter, CV, research statement (a discussion of past research, expertise, and research interests), and contact information