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and urban planning, engineering, data science, computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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Application deadline: 15/08/2025 Research theme: Computer Science No. of positions: 1 Eligible for: UK This 4-year PhD project will be funded by DLA studentship and is open to UK students
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. The PhD candidate will investigate how AI and above all Generative AI (GenAI) can be leveraged
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about to obtain, a First or Upper Second-Class UK Honours degree, or the equivalent qualifications gained outside the UK, in Statistics, Mathematics, Data Science or Computer Science. To apply, please
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associated threats. The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework
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(CAD) since 2016 and CT- Fractional Flow Reserve (CT-FFR) as a second line test since 2017. In 2018 a national health technology programme funded CT-FFR utilisation with the aim of improving patient