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causally important. Triangulate your findings and explore immune subgroups of anxiety by leveraging large population cohorts with genotype and biomarker data. Longitudinal Birth Cohort Analysis (New Data
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therapeutic response. The successful candidate will play a central role in the group's research efforts, taking responsibility for the curation, analysis, and integration of complex, large-scale genomic
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-molecule manipulation of different signalling pathways; CRISPR/Cas9-mediated gene targeting in 1-cell embryos), bioinformatic analysis of single-cell transcriptomic datasets and gene-expression studies using
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combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. This role will support the successful implementation of the MAHSA project
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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challenging analyses, overcoming statistical problems, producing high-quality visualisations and outputs, and delivering reproducible analysis scripts. You also need a strong track record of delivering high
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Programme and other scientific studies. Develop automated methods and software to support large-scale bioinformatics analysis. Collaborate closely with a multidisciplinary team of clinicians, biologists, and
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narrowly restricted in their practitioners and/or their objects of analysis, and to strengthen the intellectual framework for international and global approaches to the humanities by tackling related issues
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. You will also demonstrable knowledge in IT Infrastructure: expertise in networks or desktop or servers, and in Application Design: expertise in application development, or analysis and design
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Electronic Healthcare Record data. As well as data analysis, you will be able to present your results to others in the collaboration and at conferences. You will be working with a wide range of stakeholders