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About the Project A fully funded PhD scholarship is available at UCL Electronic & Electrical Engineering (4 years, home tuition fees covered, stipend provided). Exceptional international candidates
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their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
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aims to characterise the sequence, structural, and functional properties of UL-CDRs using deep learning and structural bioinformatics, with the goal of identifying novel antimicrobial peptide candidates
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. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
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-scale metagenomic assembly and genome recovery • Comparative genomics and molecular evolution • Machine-learning-based protein prediction • Data integration, bioinformatics and phylogenetics • Scientific
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Supervisors: Prof Manish Tiwari Prof Shervanthi Homer-Vanniasinkam Clinical Partner: The Royal National Orthopaedic Hospital (RNOH) Collaborator: Dr. Priya Mandal – UCL Mechanical Engineering
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The UCL EPSRC Landscape Award (UELA) is recruiting 50 fully funded, 4-year PhD studentships. You can apply for any of the projects offered through the UELA project catalogue (over 100 projects
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interest are also welcome. Motivation to learn about nanoparticle formulation, microfluidics, or data analysis is highly valued. Motivation to work in AMR and nanomedicine and to learn how AI can guide
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, and biotechnology. Research Environment: The project is a collaboration between UCL Chemistry, Pharmacy, and Chemical Engineering departments. Students will work across multiple labs, benefiting from a
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Scientific communication and translational research Opportunities include presenting at international conferences, publishing in high-impact journals, and collaborating across UCL and with external partners