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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity focuses on the advanced numerical modeling
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study will leverage existing numerical resources and mobilize advanced methods from software engineering to develop a robust and adaptable framework for manipulating and coupling different models
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efficiency, durability, and ease of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to
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diseases, with the goal of advancing therapeutic and vaccine design. The successful candidate will lead structure-based studies of glycoproteins, antibodies, and their complexes, taking projects from protein
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those skills and performance. Building on this framework, the project aims to advance neurocognitive models and evidence-based neuroempowerment protocols across the lifespan, from young adulthood to older
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state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational campaigns. Key responsibilities Design and execute in silico protein and
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steel or aluminium structures Welding, fabrication, or construction automation Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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unit dedicated to advancing the understanding, monitoring, and predictive modelling of modern engineering structures. Research within the department on Structural Health Monitoring (SHM), non-destructive
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usability testing and iterate on solutions to improve clarity, accessibility, and decision support value. Maintain semantic models and analytic layer structures in alignment with guidelines. 2. Advanced