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Field
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics
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on more than bone growth; it depends on a complex dialogue between immune and skeletal cells. When this communication falters, healing slows or fails. This PhD will explore how mechanical and topographical cues
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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into volatile chlorides. The process efficiency, however, depends on a complex interplay of particle-scale interactions and particle/solid body interactions. Current industrial practice relies heavily
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mass production. For training purposes, the student will reproduce selected literature results before moving on to systems of their own design. They will design, build and characterise complex membrane
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-of-the-art AI and computing facilities, receive tailored training and professional development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI
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autonomous systems. You will have the freedom to shape the project direction, experiment with novel ideas, access state-of-the-art AI and computing facilities, receive tailored training and professional
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science including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic