658 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" scholarships in United Kingdom
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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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(Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future
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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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language models (SLMs) deployable within secure NHS environments, using them to extract clinically relevant variables and phenotypes from mental health records. Second, it will compare SLM-extracted
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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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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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Project Description The global transition toward a net-zero economy requires secure and sustainable supplies of critical minerals, with lithium forming the backbone of electric-vehicle batteries and
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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
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) This PhD project aims to define evidence-based, task-specific colour vision requirements for mainline train drivers and other safety-critical rail staff. The research will focus on colour-dependent visual
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intervention portfolios. Stakeholder preference rankings derived through inverse reinforcement learning and constraints related to compliance, safety, cost, and equity will guide policy learning, ensuring