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-analysis on mammalian play using phylogenetically informed statistical models to test evolutionary theories about the importance of play behaviour. You will have a PhD (awarded or imminent) in a relevant
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potential target mechanisms, you will use Mendelian Randomization to determine which associations have causal evidence. The role will involve statistical analysis of ancestrally diverse datasets, writing
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in Medical Statistics and Health Data Science. Applicants should have a PhD in a quantitative area, preferably in machine learning or including a substantial machine learning component. They should
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. You have: • A PhD in epidemiology, public health, medical statistics or other relevant quantitative discipline • Significant experience of research in an academic setting • Experience
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-cluster medium (ICM). Advanced statistical techniques will be used to constrain ICM properties in the limit of weak or null X-ray detections associated with the Euclid clusters. The analysis will be run
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loyalty cards data. The successful applicant will have a PhD in computer science, epidemiology, statistics, behavioural science, economics, geography, psychology or related discipline, have expertise in
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statistical packages and/or coding for the analysis of next-generation sequencing data. Independently design and complete experimental plans. Experience in the co-supervision of PhD students. Contribution
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international meetings and conferences Contribute with supervision of PhD students Administration Responsibilities Thorough documentation and version control of all code developed Preparation, annotation and
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meetings and conferences Contribute with supervision of PhD students Administration Responsibilities Thorough documentation and version control of all code developed Preparation, annotation and documentation