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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as retrainable ML models, LLMs
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of autonomous systems, including coordinated mission planning. The position also includes tasks such as planning and implementation of experiments, construction of experimental setups, data analysis, and
Searches related to finite element analysis
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