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Are you interested in advancing our understanding of fracture and damage tolerance in fibre reinforced polymer composites, and in contributing to the development of new modelling approaches
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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advanced modelling and design of structural systems and materials, and you will contribute to strengthening the department’s activities in areas related to composite and sandwich structures and optimization
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
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programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research
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segmentation models, utilize Diffusion Models for synthetic data augmentation, and integrate Vision-Language Models (VLMs) for automated QA report generation. You will work closely with industrial partners