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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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We are seeking two talented postdoctoral researchers with experience in Epidemiology and/or medical statistics and who are interested in understanding the causes of multimorbidity. The posts
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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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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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. 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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specifically. Passion and commitment to an excellent standard of work is highly desirable, and the ideal candidate will be motivated and adaptable. An understanding of medical statistics is also desirable
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and papers for publication and co-ordinate activities to maximise engagement with research and/or impact beyond academia. You have: A PhD in epidemiology, public health, medical statistics or other
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The role holder will create and prepare data files from various sources for research staff, linking data where required, providing quality assurance, running basic statistical analysis, creating
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extended visits during the post. You have a strong background in molecular and genetic epidemiology, medical statistics and epidemiology, with experience using statistical programming languages (such as
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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