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Location: Department of Computer Science, Streatham Campus, Exeter, & Liverpool Centre for Cardiovascular Science, William Henry Duncan Building, Liverpool The University of Exeter’s Department
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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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Programme length: 3 years full-time (due to the project only lasting 3 years, part-time is not possible) Prospective starting date: 16 September 2024 Award summary The studentship is funded by
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Interdisciplinary Computing and Complex BioSystems (ICOS) research group within Newcastle University’s School of Computing. Our mission is to carry out ground-breaking research at the interface of computing science
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Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning
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language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance
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at application stage. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology
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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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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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/Qualifications Candidates must hold an undergraduate degree at 2.1 level in Computer Science; Mathematics; Linguistics or Psychology/Cognitive Science (with evidence of programming and/or NLP/computational