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Field
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-create solutions to research challenges across biomedicine and health with a range of stakeholders using techniques from machine learning, artificial intelligence, data science and statistical and
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are looking to recruit a data scientist with expertise who specialises in extracting valuable insights from large and complex datasets, using a combination of data analysis, machine learning, and statistical
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, continuum mechanics, mathematical physics, financial mathematics, operational research, data science, and applied statistics, and we offer PhD supervision across all these areas. We run undergraduate courses
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with IDDO statisticians and clinicians to certify the data is in the format required for statistical analyses. It is essential that you hold an undergraduate qualification in a scientific or heath
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in using a range of statistical techniques and report writing suitable for quantitative psychological science research. Confident presentation skills and the ability to clearly and effectively pass on
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About the Role Applications are sought for the post of Senior Lecturer / Reader in Medical Statistics / Epidemiology, in the Centre for Advanced Cardiovascular Imaging within the William Harvey
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large and complex datasets, using a combination of data analysis, machine learning, and statistical techniques. This is a new job role within an evolving Data function to working on delivering
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a hybrid manner. Do you have excellent numerical skills, with experience of using statistical or predictive techniques? Do you have a keen interest in using data science for the public good? Do you
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documentation software, including git and Markdown. 6. Experience with statistical genetics approaches for functional genomics, including linkage disequilibrium score regression, cell type deconvolution and
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of statistical packages (using R) to analyse complex datasets. Experience of independent and collaborative research, and of writing up research for publication. Good attention to detail, commitment to high quality