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- bermet.ishenbekova@ucentralasia.org
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Field
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Vehicle at the shelf edge. The successful candidate will be responsible for the processing, analysis and publication of the resulting data. There will also be an opportunity to join up to two cruises
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studies, data analysis including systematic review and meta-analysis, scientific writing (abstracts and academic papers) and preparing grant applications for future studies. You will experience clinical
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quantitative component. You also have significant experience in the spatio-temporal analysis of large biodiversity datasets, for example in explaining environmental and human drivers of terrestrial biodiversity
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international medical graduates become consultant doctors or GPs, and others do not, using a realist approach (SUP IMG Study, NIHR 163631). You will be responsible for conducting an analysis of secondary data
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manipulation of Pseudomonas aeruginosa and bacterial biofilms, including molecular biology such as the construction of reporter fusions, mutagenesis and transcriptomic analysis. Extensive experience in the study
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leading role in the analysis of host-response genomics in large patient cohorts, including those from recent and ongoing Covid-19 studies. Working with clinical outcome data, you will perform genome-wide
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single crystal X-Ray analysis. The position will be to explore the self-assembly of simple compounds into complex systems using automated digital tools for synthesis, monitoring and analysis
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to rigorously evaluate new and uncertain community-level interventions in infectious disease control. A key component relates to harnessing advanced mechanistic disease transmission models to improve prediction
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following skills and experience: Essential criteria PhD in statistical/psychiatric/behavioural genetics or a related academic area with a strong data analysis component Excellent coding skills with a focus on
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monitoring. Conducting experimental work in the laboratory to validate monitoring and data analysis systems. Developing frameworks for sustainability metrics and performance assessment. Analysing data