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methodologies for risk-based inspection and maintenance planning in wind turbine systems. You will work on designing a robust, data-driven decision framework that integrates structural models, probabilistic
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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work on designing a robust, data-driven decision framework that integrates structural models, probabilistic degradation processes, and operational monitoring data. Your research will focus on identifying
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, with a strong emphasis on multi-agent systems, optimal control, and algorithmic market design. Your main tasks will include: Model AI-driven learning dynamics in electricity markets Analyze equilibria in
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The Department of Architecture, Design and Media Technology at the Technical Faculty of IT and Design at Aalborg University, invites applications for a 3-year Ph.D. scholarship focusing on AI