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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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wall metabolism and membrane integrity Design and synthesise small libraries of peptide analogues Screen compounds against drug-susceptible and drug-resistant clinical isolates Develop combination
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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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annually, with life-threatening consequences for immunocompromised individuals. With few antifungal drugs available and resistance on the rise, this project explores a novel strategy: engineering the fungal
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and develop new PDCs that have potent antitumour activity and are targeted at particular cancers. The PhD student will have and will develop skills in synthesis but will also work at the interface with
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that block infection at its source, with broad applicability to respiratory pathogens, including drug-resistant bacteria. Approach and Methods: Use automated synthesis platforms to generate a high-throughput
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, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . We are seeking a highly motivated and skilled candidate with a
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of drug resistance in cancer" under the guidance of Prof. Trevor Graham at the ICR. Please see https://www.icr.ac.uk/study-and-careers/phds-at-the-icr/our-phd-projects/detail/new-strategies-for-exploiting
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), patent applications and commercialisation (e.g. UoE spinout, MitoRx Therapeutics ). Here, you will design, synthesise and characterise novel potential drug structures to target intracellular structures
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to undertake a 4-year PhD research project whilst enhancing professional development and research skills through a comprehensive training programme. You will join a vibrant community of world-leading researchers