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About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong
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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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language or who do not possess a degree from an educational institution using the English language for instruction, candidates must meet the minimum IELTS requirement of an IELTS average of 6.5 or above
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Award Summary 100% home tuition fees + annual stipend (living expenses) starting at £19,237. International candidates must fund the difference to international fees. Overview Are you passionate about combating antimicrobial resistance? Do you want to contribute to ground breaking research that...
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not their first language. Email your completed application via the above ‘Apply’ button. Closing date for applications: 10 June 2024 Interview dates: week commencing 17 June 2024 Expected studentship
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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
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Neural Networks (SNNs) with Approximate Computing for Wearable Health Monitoring Evaluation and Improvement of an Autonomous Vehicles Communications Security over 5G Technology Exploring Large Language
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competence (minimum IELTS 6.5 or equivalent) for candidates for whom English is not their first language. Your completed application should be emailed to the Doctoral College Closing date for applications: 10
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; ideally C/C++. If English is not your first language: an IELTS score of 6.5 overall, with no less than 6.0 in each component. How to apply Please note that this studentship is one of three projects
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computational modelling. Strong programming skills; ideally Python. If English is not your first language: an IELTS score of 6.5 overall, with no less than 6.0 in each component. How to apply Please note that