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- Interfacing machine learning with climate models Company: Princeton University Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid
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Company: Princeton University Description: The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments
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biogeochemical ocean modeling and machine learning in the research group of Laure Resplandy. Duties will include ocean model code development and maintenance (MOM6, GitHub), model configuration/simulation
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Specialist or a more senior professional specialist rank depending on experience. The successful candidate will support and lead research related to physical and biogeochemical ocean modeling and machine
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access to PLI's $9.6M GPU cluster (300 H100s), among the largest machine learning computer cluster in academia. In addition, PLI seed grants enable advances in AI-related research in the humanities, social
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Qualifications: - Previous experience in data management and data analysis using a variety of statistical and/or machine learning methods - Application of statistical/deep learning tools to answer biology related
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, biogeochemical models, and machine learning. The ideal candidate will have a background in ocean modeling, but candidates with the necessary background in ocean biogeochemistry and/or geophysical fluid dynamics
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oriented Must possess physical security experience, past law enforcement, or a military background deemed equivalent to meet the requirements of the position. Art Museum experience is a plus. Ability to work
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and excellent communication skills are also essential. Preferred Qualifications: - Previous experience in data management and data analysis using a variety of statistical and/or machine learning methods
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to centennial changes in the statistics of tropical cyclones over the past millennium, recent historical era and the coming centuries, using a combination of high-resolution climate modeling, machine learning