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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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and biological mechanisms underlying bleeding phenotypes by integrating whole-genome sequencing with functional studies in individual patients and affected families. In parallel, the project focuses
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that can influence this efficiency. This project aligns with the priority of sustainable development and the University of Newcastle’s strategic plan to further support next generation resources and growing
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flexibility as well as a strong motivation to address this challenge using multiple lines of evidence. Tasks and responsibilities: Co-designing and conducting field sampling and measurements, lab experiments
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. Experience working with geospatial data and spatial analysis, or the ability to learn. Experience analysing whole genome libraries, including quality control, sequence alignment, and calculating population
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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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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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for “what-if” scenario analysis derived by Integrated Assessment Models (IAM). You will develop different pathways based on multiple realisations of CMIP6 and/or CMIP7 datasets, aligned with IPCC scenarios
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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