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on tunable hydrogels and analysis through quantitative microscopy techniques. The postholder will further collaborate with project partners to establish a framework of mechanosensation and mechanical memory
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populations using patient samples and employing a combination of multi-modal techniques (scRNA-seq, scATAC-seq, ResolveOME) to develop novel assays for disease monitoring. The post is based at the Barts Cancer
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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Associate tenable for oneyear in the Department of Drama, Theatre and Dance. The successful applicant will play a leading curatorial and research role in the implementation and analysis of artist-led
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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be
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meticulous approach to data collection, analysis and preparing manuscript for publication. A demonstrated ability to communicate well, work within a team, and deliver projects within an agreed timeframe is
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leading on qualitative data collection and analysis for the relevant workstreams of the ADHOC programme, the main duties will include contributing towards the ADHOC Trial at all stages by applying agreed
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal