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Field
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Offshore wind infrastructure underpins the UK’s Net Zero transition but faces extreme operational challenges. Wind turbines must withstand harsh marine environments where multi-hazard loading from
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on numerical simulation of the turbulent urban boundary layer using the transient mesoscale model PALM‑4U. The work involves developing the model to integrate multi‑physical parameters and boundary conditions
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences in electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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Additional Information Benefits The position offers: hands-on training in deploying and running experimental platforms a unique opportunity to work with large-scale real-world measurement data a vibrant
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(RGHS). The scholarships will be funded by the Foundation for Science and Technology (FCT) under the Collaboration Protocol for Funding the Multi-Year Plan for Research Scholarships for Doctoral Students
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also
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scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI
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previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from
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to B or better compared to NTNU's grading scale . If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you