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engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire. Project description This PhD project focuses
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. The team will deeply probe this exciting development in electrochemical and material sciences. We will combine our expertise in electrochemistry and chemical catalysis with polymers, materials chemistry and
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. These innovations are driven by the need to complete complex repairs without disassembling industrial installations. By integrating these technologies, we aim to develop hybrid robotic systems that combine locomotion
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management? Your work will combine theoretical analysis with real-world case studies to identify promising institutional approaches. You’ll evaluate current governance mechanisms, financial instruments, and
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the interface between formal verification and automated planning. This is a unique opportunity to contribute to safer, more intelligent systems through a combination of theoretical work and practical
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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institutions for inclusive growth in an open society. To answer this question, we aim to use state-of-the-art micro-econometric analyses often combined with innovative unconventional data. Join us in this
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, using equipment like 3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental
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Supervisory Team: Leonardo Aniello, Han Wu PhD Supervisor: Leonardo Aniello Project description: Blockchain and Federated Learning (FL) are two emerging technologies that, when combined, offer a
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corrosion-fatigue conditions by integrating multiscale physics-based models combined with mesoscale experimental tests. This research will study the effects of corrosion-induced changes in composition