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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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to improve mechanical performance in composite structures under extreme loads. Emphasis will be placed on the design of hybrid configurations capable of promoting controlled and progressive failure modes
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mechanisms to guide the design and formulation of nanoparticles with superior drug delivery properties. Investigate the interaction between ultrasound, nanoparticles, and biofilms to assess antimicrobial
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, mechanical, civil, and materials engineering. We welcome applicants with a background in: - Computer Science - Aerospace Engineering - Civil Engineering - Physics If you have a keen interest in AI, data
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and widely used technique for probing molecular structure, dynamics, and chemical processes across the physical, chemical, and life sciences. In this project, NMR will be coupled with computational
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mycobacterial infections. The student will characterise their mechanisms of action using cross-linking mass spectrometry and assess their effects on mycobacterial membrane integrity and cell wall metabolism
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mechanism. The integrating should enable to guarantee certain properties of the learned functions, while keep leveraging the strength of the data-driven modelling. Most of, if not all, the traditional
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methodologies to study tyre–road contact physics. Providing new insights to better predict tyre–road friction. Based within both the Wolfson School of Mechanical, Electrical & Manufacturing Engineering and the
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combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity