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. in Aerospace Engineering, or a related area of study; extensive experience in high-fidelity computational fluid dynamics using supercomputers with system identification, reduced order modeling and
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, cabin checklists, debriefings and other procedures. Acquires extensive working knowledge of policies, procedures and protocols related to the Airlift Northwest program. Acquire and maintain a strong
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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the Fluid and Surface Group within FLOW. This position offers an exciting opportunity for a highly motivated candidate to contribute to a cutting-edge research program. The project, funded by