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in communicating and presenting technical and operational concepts, strategies and performance to a wide range of technical, non-technical and executive audiences. Ability to model PPPL's Values
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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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
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role in advancing the Hub's AI ecosystem building work and its long-term financial sustainability. This includes cultivating strategic revenue-generating partnerships, exploring diverse funding models
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decarbonization projects. The individual will oversee research projects that gather operational, policy, and performance data from water and wastewater utilities and other partners, use models to guide
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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 is particularly
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report directly to the faculty and the JRCPPF associate director. Responsibilities PRIMARY DUTIES Clean, synthesize, and analyze data. Produce empirical analysis and more sophisticated statistical models
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educational model is central to Princeton’s mission. The housing and dining experience is a key feature of the University’s residential program. This program engages multiple campus partners and is represented
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or more senior research positions to analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transitions. The role will report to the Andlinger
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advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/ .Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging