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clinicians, scheduling appointments, procedures and follow-up attendance. Coordinate and maintain data collection and analysis systems, maintain research database and records, and develop digital data capture
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on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches to analyse metagenomic data in the context of bacterial colonisation and infection produce high-quality research
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mechanisms of tumour progression. experience with standard molecular biology and cell-based assays; experience with omics data analysis or animal models will be advantageous. evidence of original research
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, economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning
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draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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District. Your key responsibilities will be to: undertake collaborative research in metagenomics focusing on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches
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potential for independent or collaborative projects proficiency in research design, data analysis, and the use of digital research tools. Pre-employment checks Your employment is conditional upon
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expertise in sedimentary geochemistry. It is expected that the candidate will have experience in collecting elemental geochemical data and interpreting them in terms of sedimentary processes that may include
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independently and as part of the research team, to undertake qualitative research, including data collection, analysis and writing up of results undertake qualitative research field work independently, with some