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machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise cellular graphs) of the spatial
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membranes. Your role, based in Sheffield and working with Prof Steve Armes FRS and Prof Graham Leggett, will be to design synthetic pigment-polymer antenna complexes for incorporation into molecular photonic
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
learning. The research will explore how AI-enabled adversaries manipulate ICS environments (e.g. robotic arms, sensor networks) and develop robust detection and response frameworks. By combining real-world
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of this project is taking a promising new reactor technology, the Spinning Mesh Disc Reactor (SMDR) from the lab into industry to enable commercialisation of resource efficient chemistry to align with the UK
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, and Prof James Chalmers at the University of Dundee. You will be sited within the vibrant research environment of the School of Biosciences but will work closely with the collaborative network
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to query and evaluate topical questions in the parallel/convergent basis of complex phenotypes. This project will build on existing datasets and with opportunity for new experiments. The ideal candidate will