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, communications masts, wind turbines) to integrate into the showcase software. The researcher will characterise structures (for existing and new data) as ‘irreducible element’ models, thus enabling the PBSHM
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zebrafish handling, CRISPR/Cas9 genome editing, molecular biology, whole-mount staining, in vivo microscopy, 4D image analysis, FACS, and bulk and single cell RNA-sequencing, and bioinformatic analysis
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decisions for all the elements of the End Point assessment. They will also provide constructive feedback for the apprentice in a timely manner, and where appropriate to the Department on how the EPA is
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responses in neurodegeneration. The postdoctoral researcher will join a data science team at the University of Exeter that focuses on data analysis and experimental design for genome editing experiments and
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
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include undertaking research, as appropriate, to support the project including contributing to the delivery and analysis of a large-scale questionnaire survey, conducting qualitative research interviews
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theoretical and numerical analysis skills. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be able to build
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for data analysis and JULES model output Understand state of the art representations of plant hydraulics and heat stress within vegetation in land surface models Prepare JULE simulations at experimental