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Analysis and Uncertainty Quantification to work with AI and Machine Learning researchers. Supervision for this doctoral project will be provided by one of the University of Bristol academics associated with
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research group with important ties with the University of Bristol (UK), the University of Western Ontario (Canada), and the CEA Institute of Grenoble (France), where a period abroad could be organized
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research, complemented by a taught programme at University of Bristol. Composite Hydrogen Storage Tank Process Modelling This project will focus on numerical modelling approach to understand and predict
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-class institution? We invite you to apply for a PhD studentship project hosted by the University of Bristol Business School in collaboration with the Innovation Knowledge Centre on Semiconductor
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. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence, or related disciplines. Proficiency in Deep Learning and familiarity with tools such as
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candidate will work on industrially focused research into novel wing manufacturing technologies, whilst following a taught programme at University of Bristol. We are seeking highly motivated and committed
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applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select Civil Engineering PhD on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and
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and reliability in the clean energy sector. Outputs from this project will influence real world technology, leading to industry scale testing with one of the global leaders in wind energy. The position