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of these based on AMD computer processor and graphics processing unit (GPU) technology. These implementations will develop machine learning models to determine performance and complexity when compared
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OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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Electronic Engineering PhD on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form (Reference number 240045). Candidate
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Do you want to work at the cutting edge of Aerospace manufacturing technology? Are you interested in Additive Manufacturing? Do you want to work as part of a cross-functional team making aircraft
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. Open to both home and overseas students. Please note that only home fees will be covered - eligible overseas
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. Open to home and overseas students. Only home fees will be covered - eligible overseas students will need
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are made at http://www.bris.ac.uk/pg-howtoapply . Please select Aerospace Engineering PhD on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research
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Do you want to work at the cutting edge of Aerospace manufacturing technology? Are you interested in Additive Manufacturing? Do you want to work as part of a cross-functional team making aircraft