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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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using a combination of spatial transcriptomics and immunostaining (Acha-Sagredo Cancer Cell 2025). In parallel, we developed computational methods for the analysis of spatial omics data (Bortolomeazzi
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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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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
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analysis of healthcare data. About the School/Department/Institute/Project The Faculty of Medicine and Dentistry offers international excellence in research and teaching, and supports clinical service for a
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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-of-the-art facilities and the latest computational pipelines for multi-omics analysis. This is a fantastic opportunity to be involved in pioneering research that uses multi-omics data to advance human health
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-scale data analysis you will be able to demonstrate your expertise in using R and Python to process and analyse genomic data and to employ learning frameworks. Appointment is at either a grade 4 or grade
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sclerosis, led by Dr. Thomson. Key responsibilities include shaping research questions, recruitment strategies, qualitative research, data analysis, and public engagement. The role focuses on improving