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monitoring and control tools for increasing reliability, accuracy and productivity of metallic AM technologies. Develop and utilise AM process models at multi-scales. Utilise 3D Printers for polymer printing
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properties of materials and how these variations affect energy transfer. The data will inform physical models of energy exchange that the fusion industry does not yet have. The central aspect of the project
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Sculpting hearts: investigating how tissue asymmetries shape the embryonic heart School of Biosciences PhD Research Project Self Funded Dr E Noel Application Deadline: Applications accepted all year
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Process Induced Neural Networks for Environmental Data Analysis and AI for Data Adjustments Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly Funded
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Engineering PhD Research Project Self Funded Prof Hassan Ghadbeigi, Dr Rob Ward Application Deadline: Applications accepted all year round Details Metal cutting operations are used to generate parts to a
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of how thin a metal sheet current technology can cut and handle. Previous experience / requirements: Skills in mechanics of materials (design and data analysis in mechanical testing), Modelling and
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machine learning, and data collected from high fidelity experimental set ups, these complex interactions could be modelled with higher accuracy and transferred into the virtual world for testing and
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temperatures to determine their suitability. Developing models to predict wear, friction, and chip formation, integrating coating, lubricant, and coolant effects. Building a data-driven AI model to analyze
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This position is to work alongside Professor Kate Dommett at the University of Sheffield and Dr Amy Orben at University of Cambridge on a new UKRI Taskforce on social media data access
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Future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly