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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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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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, 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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-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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stakeholders. The post holder will be expected to undertake interviews and focus groups, and support the quantitate analysis for this project. About You You will be a highly motivated individual with a PhD (or
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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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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
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. Bayesian inference, methodologies, e.g. modelling of spatio-temporal data, and applications, e.g. biostatistics. About You The successful candidate will hold (or be about to receive) a PhD (or equivalent) in
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research resources (data, expertise, analysis, theories), and building an interdisciplinary evidence base. The job holder will oversee all CRILS activities and communications, apply for further funding, and