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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: Both carbon removal
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Life cycle assessment of renewable chemical production with artificial intelligence School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr
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Identification of radiation belt drivers School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Richard Boynton Application Deadline: Applications accepted all year
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, reactor design and computer programming. Entry requirements: Upper second class degree in Chemical Engineering, Materials Science and Engineering or Chemistry. Funding Notes Department contribution (fee
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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Overview An exciting opportunity for a Research Associate exists within the Multiscale Materials Informatics and Innovation (M2i2) research group, led by Professor Hector Basoalto, at the University
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reference the application criteria in the application statement when you apply. Essential criteria Postgraduate qualification in a relevant subject such as a PhD or MSc in Psychology, Data Science, Computer Science