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Ensuring Well-Being in the Age of Generative AI Large Language Models for Vulnerability Detection Defeating complex families of malware using evolutionary based adversarial learning. Towards incorporating
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rust – caused by Puccinia striiformis f. sp. tritici (Pst) – is the most damaging of the three wheat rusts in the UK. In late May 2025, new Pst isolates were detected in the UK with the ability to
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. Why this project? As we age, many of us face multimorbidity, where multiple diseases strike together, often driven by chronic, low-level inflammation damaging our tissues. Current treatments don’t
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are subject to UKRI terms and conditions . Successful candidates who meet UKRI's eligibility criteria will be awarded a fully-funded studentship, which covers fees, maintenance stipend (20,780 p.a. for 2025/26
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, multidimensional datasets is transforming marine ecology and redefining how we detect and respond to ecosystem change. Methodology This PhD will place you at the forefront of this emerging field. You will address a
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supply chains. Research Methodology & Training This project will explore the use of advanced analytical methodologies for detecting and identifying chemical and isotopic markers linked to deforestation in
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on genomic signatures, (2) use whole-genome-sequencing to discover population-level adaptation to different environmental constraints and (3) conduct enzymatic activity and gene expression experiments to test
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language is not English, comply with the University requirements for research degree programmes in terms of English language . Edinburgh Napier University aims to build a community where all our members
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requirements for research degree programmes in terms of English language . Edinburgh Napier University aims to build a community where all our members are empowered to fulfil their full potential and find
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to detect residual stress, without damaging or weakening the material. However, a rigorous theoretical framework to interpret the measurements is still lacking. This project addresses this gap by combining