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climate influences. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance
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utilisation or lead to sub-optimal use. Secondly, it will take a critical look at the information needs and the availability of the information needed to develop different product categories or allow specific
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intervention; and (iv) to optimize the maintenance activities by leveraging these correlations learned by machine-learning based approaches. Supervisory Committee: Main supervisor: Full prof. Chiara Bertolin