567 information-security-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" PhD positions in United Kingdom
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Field
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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential
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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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UK students only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax-free
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MTD techniques are in preventing attacks is difficult. 5) MTD must coexist with traditional security measures like firewalls, IDS/IPS, and endpoint protection; 6) Frequent reconfigurations and
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on Tuesday 12 May 2026 Reference: PHD-DVC26-02 Project Title: Quantifying the impact of farm animal use in education to inform evidence-based guidelines Primary supervisor: Dr Holly Vickery Co supervisors
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to analyse next-generation spatial transcriptomics data, advancing our understanding of cardiac ageing and disease. Background: Spatial ‘omics methods measure gene or protein expression in their native context