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-learning models (e.g., graph neural networks, equivariant architectures) in collaboration with computer science researchers. Applying developed models to problems in Earth and planetary interiors, such as
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turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL
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focus will be on introducing new AI models to chart the chemical âœdark matterâ of the mammalian metabolome; examples of such models include large supervised or self-supervised AI models for mass
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positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental
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., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis), multi-level modeling, and experimental study design. Expertise designing studies with parents, infants, and school-aged children
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The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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), multi-level modeling, and experimental study design. Expertise designing studies with parents, infants, and school-aged children is particularly desirable. The Postdoctoral Research Associate will work