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collection using appropriate tools for obtaining 24-hour recall nutrition data. The role will involve the training of data collectors, supervising data collection, performing data checks and analysis
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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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engineering-based projects though the entire project lifecycle with responsibility for the successful delivery of all elements, to specified levels of time, budget and quality. In addition, the postholder will
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factors for cardiovascular disease. The project will involve 1) conducting a systematic review of the literature and qualitative analysis of interviews with a range of stakeholders to identify barriers and
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analysis plans You will be ambitious about your future career, and seek training and development opportunities available via this role. We will consider candidates wanting to work full time or 4 days per
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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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tissue culture and mouse handling and basic monitoring. Knowledge of basic mouse techniques such as handling and weighing, cell culture and cytokine array analysis would be an advantage. A demonstrated
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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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