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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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, 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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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be