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                from participating consumers and clinicians for all three project phases Establish and manage systems for data entry and assist with data analysis (qualitative and/or quantitative) Engage with allied 
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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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                ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water 
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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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                assays, proteomic analysis (including secretome analysis), small animal studies, flow cytometry, quantitative RT-PCR, Western blotting, ELISA, immunohistochemistry, fluorescence and confocal microscopy 
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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 
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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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                the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb