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programming using STATA. Preferred Candidates with research experience are strongly preferred, especially those with experience in numerical modeling, statistics, and econometrics. Knowledge in stochastic
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magnetic field line flow, particle confinement, magnetohydrodynamics, multi-objective stochastic optimization, and scientific computing. The role of the Princeton researcher in this project will be
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the GFDL SPEAR forecast model and evaluating their impact on subseasonal prediction skills. The incumbent will (a) examine and evaluate a stochastic physics scheme and its impacts on climate simulation
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-objective stochastic optimization, and scientific computing. The role of the Princeton researcher in this project will be to develop computational and analytical tools for optimizing magnetic field and coil