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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large
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guidelines for the design of improved organic materials. Interested candidates may want to take a look at our recent work: https://www.nature.com/articles/s41467-022-30308-5 & https://www.science.org/doi
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-penetrating capabilities Evaluate delivery efficiency in cell-based models mimicking lung and immune tissues Identify structure–function relationships to inform rational design of future mucosal delivery
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nanoparticles can protect them and help deliver them precisely where they are needed. However, designing suitable AMP-nanoparticle combinations is complicated. Many formulation ingredients, concentration ratios
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mechanisms to guide the design and formulation of nanoparticles with superior drug delivery properties. Investigate the interaction between ultrasound, nanoparticles, and biofilms to assess antimicrobial
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computational infrastructure and a strong culture of mentorship and innovation. Desirable Prior Experience: Background in bioinformatics, computational biology, structural biology, or related fields Experience
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disinfectants. With antimicrobial resistance (AMR) on the rise, there is an urgent need for non-antibiotic strategies to prevent and control biofilm formation on medical devices. This PhD project proposes a novel
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chemistry and nanoscale structure, these coatings will offer long-term, biocompatible protection against infection. The project will involve materials design, fabrication, characterisation, and biological
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for microbiology and screening assays, MRC and Wellcome-funded. Both labs promote an open, collaborative culture and have a strong track record of PhD supervision. Desirable Prior Experience Some prior experience in
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/population genetics (van Dorp Lab) • Environmental microbiology, phage biology and metagenomics (Santini Lab) Both labs promote open research culture and have a strong track record of PhD supervision