17 evolution-"https:" "https:" "https:" "Universitat Pompeu Fabra Department " PhD positions at UCL
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an academic that has supervised previous work, projects or similar), A short research proposal using this template: https://www.overleaf.com/read/bffndqvvkzcv#a53b9d (this template can be copied or downloaded
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: Machine Learning Molecular Dynamics. The project involves the development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first
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). While mRNA vaccines have demonstrated rapid development and high efficacy, current formulations primarily protect against severe disease rather than preventing infection at mucosal entry points
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enzymes. Mapping bacterial defence systems to infer predictive features of co-evolutionary dynamics. Impact and Outlook This project will: • Advance understanding of microbial co-evolution. • Deliver a
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for engineering novel antimicrobial peptides. The findings could lead to the development of new therapeutic scaffolds with applications in infectious disease, biotechnology, and immunotherapy. The project also
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promising targets for antiviral drug development. While the COVID-19 pandemic highlighted the threat of RNA viruses, large DNA viruses such as African Swine Fever Virus (ASFV) remain underexplored despite
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for deployment in resource-limited environments. Training and Student Development: The student will gain interdisciplinary training in: Nanoparticle synthesis and characterisation Colloid and interface science
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of industry and healthcare partners, a rare opportunity to develop a highly sought-after interdisciplinary skill set that is in demand across both academia and industry. Training and Student Development
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techniques. The findings will lay the groundwork for clinical application and contribute to the development of targeted therapies for resistant bacterial infections. Approach and Methods Atomic force
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: This project aims to pioneer a sustainable approach to combating antifungal resistance by enhancing the effectiveness of existing treatments. The findings could inform the development of innovative, non