603 computer-security "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in United Kingdom
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the studentship see: https://www.uwe.ac.uk/research/postgraduate-research-study/how-to-apply/studentship-opportunities/ultra-low-energy-student-housing For an informal discussion about the studentship
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information from the Doctoral College website: https://www.herts.ac.uk/research/research-degrees-and-doctoral-college Interviews will take place: April 2026 (exact dates TBC) For informal enquires please email
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? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
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unrealised ways and places, enhancing device communication and functionality in the defence and security domain. The Studentship Starting October 2026. This scholarship covers postgraduate tuition fees, a
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pretrained models, where parameter-efficient methods must balance erasure guarantees against model utility Unlearning as an AI safety primitive — exploring how federated unlearning can contribute to removing
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personal journeys and daily activities, often discouraging use. To address this, the project engages directly with PwMD and their carers to co design a fresh concept of wandering safety that protects
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generalisation against noisy, live experimental data. This studentship is fully and securely funded by the University's £9M Research England-funded M3 4Impact expansion programme. This project is a cornerstone of
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD project addresses this urgent need by developing bio-inspired sunscreens, drawing on nature’s own solutions
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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network