597 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in United Kingdom
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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to become an intrinsic part of the global integrated energy system. However, this kind of technology has not yet achieved widespread commercial adoption due to electrochemical systems’ reliability, safety
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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• Translational microbiome research A research placement at Dstl will provide additional training and insight into how microbiome technologies can support national security and defence challenges. Candidate
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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. The PhD researcher will advance scalable wet‑etch fabrication methods to create next‑generation THz modulators with applications in security screening and early cancer detection. Terahertz (THz) radiation
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help uncover how growth factor signalling shapes vision. For more information, email us at l.troeberg@uea.ac.uk . The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering
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, age or social background. Please read our application guidance to see our programme specific requirements, including proforma Research and Personal Statements: https://biodtp.norwichresearchpark.ac.uk
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply