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Field
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-of-the-art in failure propagation analysis and safety assessment of complex systems. In particular, it will investigate extensions of existing formalisms to deal with aspects such as the timing of fault
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experience developing cutting-edge computational tools that bridge aeroelasticity, structural analysis and manufacturing constraints for early-stage design. You will get the opportunity to travel
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leading cause of heart failure and sudden cardiac death in young adults. While often caused by faults in heart muscle proteins, how these genetic changes lead to heart thickening, scarring and electrical
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ejection fraction and contribute to the assessment of conditions including heart failure and valvular heart disease. At present, cardiac volumes are predominantly assessed using imaging techniques such as
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decisive importance for lifetime performance modelling. The key challenges are the robust integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly
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Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure
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boundaries. Position The offered position contributes to the failure resilience of cellular networks through technological innovations, to ensure connectivity and service continuity for both the general public
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 months ago
are causally linked to the progression of ischemic heart failure. In this interdisciplinary approach, the Molecular Microsocpy Lab led by Katrin Heinze combines high-end imaging and state-of-the-art molecular
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electronics, remains a major source of failures, accounting for roughly one third of incidents and nearly half of maintenance costs in offshore turbines. Early and accurate fault detection in this subsystem is
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in order to recruit 11 outstanding PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling