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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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mass, makes it crucial to control the permeability properties of composites. The thesis project focuses on specific defects induced by automated fiber placement (AFP), in particular gaps and overlaps
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