26 Statistics "Cancer Research UK (CRUK)" positions at University of Bristol in Ireland-United-Kingdom
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methods for analysis of infectious diseases, and/or mathematical modelling of infectious disease processes. You will undertake literature reviews and appropriate statistical analyses to inform the most
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The School of Mathematics is seeking to appoint a Lecturer (analogous to Assistant Professor) in Statistics or Machine Learning, to be interpreted as broadly including Statistics, Data Science
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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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-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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researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non- academic partners. This Prob_AI Hub brings together research groups from the Universities
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implement changes in project procedures, plans, priorities and office systems to improve operational efficiency and quality of service in projects. Analyse data/statistics, such as monthly programmes of work
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unit of our MSc in Medical Statistics and Health Data Science. The post holder will supervise MSc dissertation projects. They will also support, supervise and advise other researchers in the Bristol
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able to build strong relationships with staff at all levels. Desirable: - You’ve got a keen interest in statistics and data analysis. - You’ve got a solid understanding of University processes and the
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presentations. Carrying out audits and site inspections, and proposing appropriate corrective action Analysing statistics and statutory reporting Planning, measuring and monitoring key performance elements
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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