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PhD position: From the Origin of Life to New Materials – Nanopore Detection of Nanocluster Heterogeneity with Single-Molecule Resolution (P2604) 100% position for 4 years, earliest starting date: 1
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affected by AMR pathogens. This will be achieved by integrating cutting-edge techniques in bacterial genomics, including both short-(Illumina) and long-read sequencing (Oxford Nanopore), data mining of
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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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assays and copy-number variation analysis; Nanopore-based sequencing, including 16S rRNA gene sequencing, metagenomic sequencing and sequencing of selected human genomic regions; analysis and
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(such as CLIP, RNAseq, riboseq, RNA structure probing, Nanopore long-read sequencing data, proteomics, imaging) to characterise regulatory mechanisms. Expertise in collaborative working with wet-lab