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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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International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Please note that as this is a defence based project, only UK/EU students are eligible to apply
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energy-efficient LLM training and inference. The project targets building full system prototypes in advanced CMOS/FinFET technology nodes (28nm, 16nm). These digital exact computing systems are planned
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information and other funding options: View Website Eligibility Students are expected to hold a 2.1 Hons degree or above, or equivalent, in Electronics and Electrical Engineering, Computer Science, Physics
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controlled. The PhD student will develop, fabricate and characterise such structures targeting different applications for electronic and sensory elements. The research is affiliated with the EPSRC programme
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Deadline for applications: 15th of April 2024 (or until the position if filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University
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Deadline: 6th of May (or until the position is filled) One fully funded PhD position to work with Dr. Susan Lechelt and Prof. Ewa Luger in the School of Informatics at the University of Edinburgh
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) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Please note that as this is a defence based project, only UK/EU students are eligible to apply. International
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at the University of Edinburgh, and co-advised with Dr Farid Shahandeh at the Royal Halloway University of London on a project titled “Resource frameworks for secure quantum computing and quantum
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). The program involves both a PhD research project and integrated studies as part of a cohort of like-minded students. The integrated studies will include advanced courses and bespoke training events such as