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state-of-the-art machine learning methods to analyse high-dimensional (time series) data. For the selected candidate, there will be possibilities to influence the project and develop new project ideas
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for the governance of airborne wind and by investigating spatial, procedural and distributional issues in the deployment of AWE systems. Research will be based on qualitative social science methods, e.g. conducting
Searches related to finite element methods
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