46 machine-learning Postdoctoral research jobs at Princeton University in united-States
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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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- 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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conduct research on the use of machine learning in ocean climate models. The goal is to demonstrate the successful use of machine learned parameterizations of unresolved processes that will reduce biases in
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approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to lead and contribute to a range of exciting projects
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on projects related to computational analysis of and machine-learning approaches to mass spectrometry-based metabolomics and/or proteomics data. Positions are available starting March 2024, and will remain open
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to conduct research on developing and using machine learned parameterizations developed from ocean-data assimilation increments. The goal is to develop parameterizations of unresolved processes that will
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applications at the intersection of statistical mechanics, multiscale simulation, and machine learning. The successful applicant will be appointed through the Chemical and Biological Engineering Department
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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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-computer science, statistics, and/or machine learning with applications relevant to genomics -population genetics / genomics
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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/artificial intelligence (ML