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sequence the complete DNA of babies at birth to screen for hundreds of genetic conditions. This PhD project will generate the evidence to inform which genes and variants should be included in newborn genome
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of genomics such as genome sequencing and single cell approaches, in addition to broader data integration efforts across multiple types of 'omics data. The advertised role provides analytical support in
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genome sequencing and single-cell approaches, as well as broader data integration across multiple omics data types. The role holder will apply their computational and bioinformatics skills to contribute
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-groups/wang-group/ In the Wang Group, we develop and apply interdisciplinary technologies that bridge high-resolution spatial biology and genome-wide discovery. By integrating multi-omic sequencing and
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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Primary Supervisor: Dr Ke Li Foundation models trained on DNA and RNA sequences are beginning to transform genomics, but their predictions often remain difficult to interpret. A model may identify a
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(Northeastern University London) Carlos Perez Delgado (University of Kent) Aligned programme of study: PhD in Computer Science Mode of study: Full-time Northeastern University London As part of a major investment
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, sensor lifetime and retention lifetime. Understanding and sequencing these lifetimes is crucial to the success of the project. You will gain experience in cleanroom microfabrication, thin-film patterning