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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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About the Role We are looking for a motivated Postdoctoral Research Associate to join the Composite Design and Analysis (CDA) Group, led by Dr. Haibao Liu. You will be a key member of the CDA Group
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applicants from a wide range of disciplines proposing other or complementary approaches from those disciplines e.g. political science, public policy analysis, human geography, anthropology, sociology, critical
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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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to other aspects of the quantitative analysis. Specifically this may include coordinating and maintaining close working partnerships with collaborating GP practices, patient and members of the public and key
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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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, 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