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missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. - Develop Machine Learning methods and run numerical simulations on NYUAD’s
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validé en reproduisant les données de radio occultation mesurées par RO lors du feu de Pedrógão Grande, de l'émetteur jusqu'à la sortie du récepteur, à l'aide de simulations à grande échelle du feu [9
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applications The Department of Physics at Umeå University is offering a postdoctoral scholarship for a project that aims to develop high-performance computing (HPC) models and simulation tools for space weather
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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evaluation Knowledge of numerical simulation, for example with land surface or hydrological models Genuine interest in data science and earth sciences Good organizational skills and ability to work both
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subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi
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physics such as heat transfer, melt-pool dynamics, residual stress evolution, and microstructure formation. Experiments and numerical simulations will be conducted to evaluate the predictive capability
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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to scientific work in modelling nuclear fission process (developing theoretical models and numerical simulations), which can be proved by enclosing relevant papers published in internationally reviewed scientific
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of prioritizing multiple tasks or requests while handling numerous interruptions. Ability to communicate effectively with students, staff, and administrators. Experience with and technological proficiency in