662 information-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships in United Kingdom
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& Find Out More : To apply for this fully funded PhD Studentship or for more information, follow this link: https://www.exeter.ac.uk/study/funding/award/?id=5840 Application Deadline: 19 APRIL 2026 @ 23.59
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable What-If Analysis of Intelligent Networks Funded PhD Project (UK or International Students) Funding provider
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Funded PhD Project (UK or International Students) Funding provider: Northeastern
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems Funded PhD Project (UK or International
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this research area to https://www.warwick.ac.uk/engineeringscholarships/ng_epsrc/app via the above 'Apply' button. If this initial application is successful, we will invite you to submit a formal application
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The department of Pathology has an excellent reputation in pure biological and biomedical research and is offering a fully funded PhD studentship from October 2026 to work with Prof. Christina
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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. Ensuring software safety, reliability, and regulatory approval is challenging, as failures often occur in rare or unforeseen situations, making traditional testing and trial-based approaches insufficient