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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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and networks Help with training Master and PhD students and other group members who are working on similar areas Supervise student's projects at both undergraduate and postgraduate levels Person
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into the plasticity of pluripotent stem cells and their underlying gene regulatory network. Applicants should be motivated by fundamental scientific curiosity with a particular interest in stem cells and cell fate