1,604 information-security-"https:"-"https:"-"https:"-"https:"-"Imperial-College-London" PhD positions
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Ant Digital Twins for food safety. This is a 3-year position linked to the D-CRISP project . The candidate is to research, develop and demonstrate a methodology for building and integrating digital
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, cell culture, in vitro assay development, and data analytics. We are looking for candidates that are interested in these areas and who wish to deploy genetic engineering strategies to advance the safety
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We are seeking two outstanding candidates for PhD scholarships for two new ARC projects: a Linkage project studying water security challenges in the Murray-Darling Basin (MDB); and an ARC discovery
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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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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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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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, it also exposes them to new and critical security risks that remain poorly understood. Among these risks, memory poisoning attacks pose a severe and immediate threat to the reliability and security
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Topological Data Analysis for Multimodal Neuroimaging: MRI and NIRS Biomarkers of Brain Change DoS Dr Nathan Broomhead (nathan.broomhead@plymouth.ac.uk, tel.: +441752586874) 2nd Supervisor Dr Mariam
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our ability to consider you for this position. Complete applications submitted by 1 June 2026 will receive full consideration; after that date applications will be considered until the position is
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for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical