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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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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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comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-PSY-00001 PI277839345 Create a Job Match for Similar Jobs About Princeton University Princeton
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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-26-MOL-00001 PI277839350
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] Subject Areas: Artificial Intelligence, Machine Learning and Autonomy Computational Science and Engineering / Machine Learning Computational Biology / Data Analytics Analytical Chemistry / Current
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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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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-25-PSY-00002 PI277839348 Create a Job Match for Similar Jobs About
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comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-GEO-00001 PI277839340 Create a Job Match for Similar Jobs About Princeton University Princeton
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, and research interests), and contact 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
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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