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Field
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using real-world data. The post holder will work with large healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical
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with Professors Breen, Eley and collaborators across psychiatric genetics, clinical psychology and data science, you will contribute to one of the largest efforts globally to understand how genomic
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the role The Medical Statistics Group provides a methodological platform and support for large-scale and wide-ranging research projects and has collaborations with researchers across the University
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reviews Lead the analysis of large-scale population level data sets using statistical and data science techniques Provide statistical and mathematical modelling advice to junior researchers Lead the writing
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instance. About you The successful candidate will have skills in advanced quantitative methods including longitudinal data analysis using large-scale administrative and cohort data. Further particulars
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to support personalized lifestyle interventions and clinical decision-making for chronic disease management. Perform large-scale data integration and analysis, ensuring data quality, security, and compliance
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(HDH) School, located at Southampton University Hospital site. Working alongside genomic informaticians, clinicians, and data scientists, you will help drive translational research that has direct impact
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(HDH) School, located at Southampton University Hospital site. Working alongside genomic informaticians, clinicians, and data scientists, you will help drive translational research that has direct impact
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with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of the role will focus on supporting a
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic