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more than one meter to sea-level rise by the end of the century, making it a major concern for human societies and coastal ecosystems. Projections of ice sheet evolution rely in particular on model
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predictable, complementary renewable source, particularly relevant for coastal nations like Norway. However, the hydrodynamic environment is complex: non-uniform inflows, wave–current interactions, and limited
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at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
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and focus groups to identify marine areas (spawning grounds, subsistence fisheries, coastal protection), species of interest to the communities and associated values (economic, socio-cultural and
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management of Coastal
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modelling using existing models and using AI based tools. The focus of the work will be to cater to the needs to high voltage/power in power electronic systems, while avoiding humidity and gas exposure
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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the project The position is part of the EU Horizon project EU-INTERCHANGE (European Regional and Coastal Seas in a Rapidly Changing Climate) aiming to develop a Digital Ocean Twin based on optimised