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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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-scales/t23.pdf . The current minimum salary range for this position is $69,073 - $77,030 annually. Salaries above the minimum may be offered when necessary to meet competitive conditions. Percent time: 100
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, pressure, atmosphere, solvents...), offering a broad range of emission colors and behaviors. The approach will notably include monomers with ESIPT properties developed at ICPEES, which will be used as
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to these changing conditions? The postholder will help to answer these questions using agent-based modelling (ABM) of social-ecological systems, drawing on archaeological and historical datasets collated through
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and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality
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) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
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-fidelity battery system model ready for future digital twin development. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new
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, environmental simulation and modelling to investigate the surfaces and atmospheres of the terrestrial planets, the Moon, asteroids, comets and extra-terrestrial materials. The post-holder will be expected to work
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, environmental simulation and modelling to investigate the surfaces and atmospheres of the terrestrial planets, the Moon, asteroids, comets and extra-terrestrial materials. The post-holder will be expected to work
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close collaboration and innovation. Together, they drive ecosystem development by combining cutting-edge research with industrial expertise, fostering new technologies, business models, and talent