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testing, with clinical input from RNOH to ensure translational relevance. Approach and Methods: Design and fabricate porous, nanoengineered surfaces with anti-adhesive, slippery properties Characterise
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engineering, and nanofabrication techniques. Test materials against clinically relevant pathogens such as Pseudomonas aeruginosa and Staphylococcus aureus. Impact and Outlook: This project will deliver a new
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robotic automation to identify and optimise lead compounds. This approach will serve as a test case for a generalisable platform for rapid, structure-guided antiviral discovery. Approach and Methods
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could be applied in biotechnology, healthcare, and environmental contexts. Employ synthetic and molecular biology tools to design and test new methods of controlling fungal behaviour. Impact and Outlook
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pharmaceutical R&D Application of AI in process development and materials discovery Antimicrobial testing and biological evaluation Workflow integration and data management for self-driven laboratories Project
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targeting AMR gene suppression AI-driven genome design: Use LLM tools (e.g. PlasmidGPT, Evo2) to refactor plasmid genomes for enhanced manufacturability, safety, and performance Microbial validation: Test
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principles molecular dynamics simulations. You will contribute to the development of novel work flows as well as to the training, testing and application of latest neural network methodologies. Applications