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with natural systems. This interdisciplinary project will combine laboratory experiments, numerical modelling, and advanced artificial intelligence (AI) techniques to improve predictions of the coastal
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socio-marine ecosystem models Marine and coastal socio-ecosystems such as Dublin Bay are highly complex systems subject to accelerated climate change. They are characterised by interacting biological
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. You will be involved in the further development and application of the FlexSem model system, which is a framework developed by the model group to describe the dynamics of coastal marine systems
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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more reliable designs. The student will use advanced numerical simulations at KU Leuven to model the impact of large waves on OFPV structures, capturing key processes such as wave breaking, overtopping
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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be a game changer. Deep learning models can learn the mapping between material states and ultrasonic responses from simulation data, delivering quantitative predictions once trained, and remarkably
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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. These events such as (flash)floods, dam failures, coastal floods, storm surges and tsunamis generate highly unsteady flows whose interaction with buildings is poorly understood. In particular, the coupling
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how coastal habitat mosaics support reef fish communities and sustain key ecosystem functions, including trophic connectivity, nutrient cycling, biomass production and reef resilience. The candidate