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have expertise in data and statistical analysis with a strong component in machine learning and artificial intelligence techniques. You will have programming skills in R, Python or equivalent language
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, involved in study set up, trial management, and data analysis. The data analysis component will be primarily of genomic data. The purpose of this post is to identify and investigate genotype-phenotype
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analysis to join a dynamic team that has, for the past 8 years, developed an extensive body of research on corruption, governance and anti-corruption strategies. In the Accountability in Action project
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welfare initiatives and inform relevant strategies and policies. Our ideal candidate will have a postgraduate degree with a strong research component and practical experience of conducting observational
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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contribute to the process of securing funds through bids and growing reputation. About You The post holder will provide overall: analysis of large-scale short-read whole genome sequencing datasets and long
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proteomic and metabolomic techniques to investigate the impact of inhibiting glutamine metabolism in lymphoma cell lines and primary human cells. In addition, a component of the work will involve the use
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responsibility for the design and delivery of the programme. You will deliver high quality processes and programme elements as well as professional, knowledgeable and timely information to all programme team
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. At Royal Holloway University, Active Lifestyle and Sport is an essential element of the student experience and belonging. The Active Lifestyle & Sport team is responsible for encouraging participation in