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modelling and reliability assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally
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modelling and reliability assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally
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on the one hand, and factors such as equipment deterioration and energy consumption on the other hand. Similarly, in rental systems, optimizing pricing strategies to match real-time demand with supply is
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bridges, has reached or exceeded its design life. To extend the life of infrastructure in the future and at the same time meet sustainability goals, it is necessary to optimize interventions by predicting
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speeds directly impact production outputs on the one hand, and factors such as equipment deterioration and energy consumption on the other hand. Similarly, in rental systems, optimizing pricing strategies
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deciding optimal investment and consumption. Pensioners must balance their consumption needs, long-term care, bequest, and more. The wide variety of insurance products further complicates the decision. In
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assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally, integration with
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assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally, integration with
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assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally, integration with
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). The project focuses on the development of novel solutions for quantum circuit optimization, simulation and formal verification of quantum circuits using the aforementioned data structures. In this position you