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. The project aims at building large-scale AI accelerators for Large Language Models (LLMs), with a specific focus on Transformers. Diverse hardware optimization techniques can be used, targeting a scalable tile
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part-time study. For further information about modes of study, please contact us. If English is not your first language, you must fulfil our English Language criteria before the start of your studies
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to 1 PhD student per academic year). Further information will be provided at application stage. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5
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(completed with Distinction or a High Merit), and a strong wish to pursue a PhD with an original research project. If your first language is not English, you will need to meet the minimum English requirements
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MSc is advantageous. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic
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Funding providers: Swansea University Strategic Partnership Research Scholarships (SUSPRS) with Université Grenoble Alpes, France Subject areas: Semiconductors Project start date: 1 October 2024 (Enrolment open from mid-September) Project description: This is a joint PhD programme between...
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) and likely a Masters degree in a relevant subject (completed with Distinction or a High Merit), and a strong wish to pursue a PhD with an original research project. If your first language is not English
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undergraduate honours degree or Master’s degree with Merit in a relevant discipline (such as Computer Science, Mathematics or others related to the PhD topic). If English is not your first language, you must have
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) and likely a Masters degree in a relevant subject (completed with Distinction or a High Merit), and a strong wish to pursue a PhD with an original research project. If your first language is not English
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first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component. Familiarity with machine learning and probabilistic models Relevant software knowledge and experience