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diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training
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methodologies, methods and tools for effective and efficient product innovation and realization, embracing the complexity and dynamics in today’s business environments where digitalization and AI tools play
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dynamic pressure sensors to measure the flow and flame response. In particular, the project will focus on novel methods of introducing flow perturbations, to rapidly and accurately characterise the acoustic
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tools often fail to predict stability issues due to model inaccuracies and the uncharacterized dynamics of PECs, which are typically proprietary and not fully disclosed by manufacturers. Efforts
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from information security, maritime operations, data engineering, and data governance. The research will include structured review of relevant literature, exploratory studies with industry partners and
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moreover drives reconfiguration of inter-organizational relations. The current project calls for research on these structural reconfigurations. AI adoption will reshape the relational and structural elements
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prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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operations in critical infrastructures. Contributing to the development and evaluation of dynamic role assignment frameworks for human-AI collaboration in threat detection and incident response. Supporting
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multi-level policy efforts. Environmentally, integrating ocean-wind dynamics and ecosystem impacts into design and operations is essential. In particular, the PhD research will focus on mapping and
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, workforce shortages, and low social acceptance demand coordinated multi-actor and multi-level policy efforts. Environmentally, integrating ocean-wind dynamics and ecosystem impacts into design and operations