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issue in society, from AI regulation and AI safety to protecting democracy from election interference. This exciting PhD project investigates two technical aspects of voice deepfakes: What is it about a
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Supervisory Team: Joerg Fliege PhD Supervisor: Joerg Fliege Project description: This project will consider the development of mathematical models for electronic warfare, specifically electronic
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Research theme: Fusion Energy This 4 year PhD covers tuition fees and a tax free stipend set at the UKRI rate (£19,237 for 2024/25). Home students and students with settled status are eligible
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systems problems. By completing the PhD programme, you will become a future thought leader in a rapidly growing area of technology. Entry requirements: A minimum of an upper-class honours degree (2:1
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applicants should contact Professor Chris Murgatroyd for an informal discussion. To apply you will need to complete the online application form for a full-time PhD in Life Sciences (or download the PGR
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Location: Cranfield University Supervisors: Professor Panos Laskaridis A fully funded PhD studentship and great opportunity to work closely with a leading European Research Consortium
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Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas: English, animal studies Project start date: 1 October 2024 Supervisors
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Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas: History Project start date: October 2024 Supervisors (*lead): *Dr Oliver
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Lead Supervisor’s full name & email address Dr Xu Zhang – [email protected] Co-supervisor’s full name & email address Professor Jie Xu – [email protected] Project summary Edge intelligence for the Internet of Things (IoT) presents a revolutionary solution to the limitations of existing...
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In the early development of new active pharmaceutical ingredients (APIs), pharmaceutical scientists often have access to only small amounts of material for testing. Even as we move through the development and commercialisation process, the reduction in the amount of API used for experimental...