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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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. 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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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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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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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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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