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motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling
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developed with human creators in mind. For example, should machine-generated output be subject to copyright? What degree of human involvement is necessary for copyright to subsist? Who should be the owner
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Ltd and Imperial. The project will develop high-performance lightweight alloys and composites for aerospace and other demanding engineering sectors, while improving manufacturing efficiency and
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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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and more efficient care. The student will have access to a unique training programme in AI in healthcare and health data science as well as a wide range opportunities for developing skills in a rapidly
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project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing postharvest drying
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The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all
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in developing new theories of understanding by exploring research cutting across the following areas: Investigating material evolution and degradation mechanisms under cryogenic cyclical conditions