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storage and production. As part of the study, these may be evaluated for both economic sustainability and energy security. It is expected that the work will rely on physical modelling and simulation
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Health and
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
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, or computational engineering/physics/chemistry, preferably acquired recently; or who possess corresponding qualifications that could provide a basis for successfully completing a doctorate. To be eligible