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this project, you will set up high resolution, realistic numerical simulations of Greenland fjords, and study the ocean dynamics and the interaction with ice. This project is a collaboration between the TU Delft
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microbubbles can map microvascular dynamics but is limited to assessing intravascular flow and structure. Nanobubbles, capable of penetrating the tumor microvasculature and targeting cancer-specific biomarkers
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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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to join our dynamic research environment at the Department of Clinical and Molecular Medicine (IKOM), Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU) in
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of multipath propagation, temperature, and flow-induced refraction typical of urban canyons. Investigate how urban geometry and atmospheric flow structures influence the performance of array-based and
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, currents, water levels, wind, and ice. Machine learning models will be developed to forecast future variations in such dynamic conditions and to incorporate the operational state of the vessel into routing
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entering a phase where AI adoption increasingly affects financial decision-making, cost structures, investment strategies, and long-term value creation. AI influences how companies allocate capital and
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set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and
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candidate to conduct interdisciplinary research that links question answering, knowledge modelling, geo-spatial analysis, and workflow construction. This PhD position focuses on developing a semantic model of