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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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science » Informatics Computer science » Modelling tools Mathematics » Applied mathematics Mathematics » Algorithms Mathematics » Computational mathematics Mathematics » Statistics Physics » Statistical physics Physics
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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. Research Environment You will be part of the Sydney Centre in Geomechanics and Mining Materials (SciGEM), a world-leading research group in applied granular physics. SciGEM offers a vibrant, collaborative
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the estimation of some of the significant water balance components. The candidate is expected to seek an optimal integration between the physical representations of the various processes and the computing power
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conferences Your qualifications: A Master’s degree (or equivalent) and a PhD in geophysics, physics, geosciences or a closely related field Experience in data assimilation and numerical simulations Knowledge