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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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experience applications across energy systems, urban environment, transport or the built environment. Your work involves large-scale energy datasets and big data analytics, and you have demonstrated expertise
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. The UCL GOS Institute of Child
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comprehensive excel spreadsheets to track progress; comprehensive data management as required by a large-scale RCT; liaisng with the trial steering committee; contributing to and leading on reports to the funder
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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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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role We are seeking a
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learn about handling clinical and biological data and big data analysis. The salary range for this post is £39,148 per year (including London Allowance) and the post is funded for 18 months in the first
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focuses on the development and application of computational tools for large genomic datasets to address important questions in biology ranging from the genetic determinants of human disease, the origin and