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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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’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8090F. Research Area: Mechanical and Systems Engineering. Select ‘PhD Mechanical
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, Signal Processing, Machine Learning, or Computer Science. We welcome applicants onto the CDT from underrepresented groups. Closing date : 31th Aug 2024. Funding: Full-time studentships will cover UK
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, leading to novel engineering applications in sustainable architecture and green energy. We are seeking a motivated PhD candidate with a background in mechanical engineering, mechatronics engineering, civil
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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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Apply online, by clicking the 'Apply' button, above. Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time
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Apply online: HERE Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once
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Diversity Impact Programme and led by Dr Ratcliffe to provide new equipment and new research spaces for assessing extended reality tools, and the £6M DigiLabs project funded by the Office for Students
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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