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whether innovative design, additive manufacturing of metamaterials, and numerical optimization can reduce material use without compromising, and ideally improving, protective performance. The position is
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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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samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize, and validate a refractive
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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resilience of bridges under climate change-induced hazards such as flooding, scour, and debris impacts. The research aims to develop advanced numerical models and machine learning tools to predict loads
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communications, and can be used to diagnose diseases, while microbacteria are important for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic