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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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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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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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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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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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immunotherapies for childhood brain tumours. The successful applicant will join an existing team of researchers with a focus in this area. The successful candidate will initiate a large barcoding initiative and
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responsible for programme management, overseeing project delivery. Third they will contribute to the data collection, analysis and dissemination of mixed methods research activities within the study. Starting
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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 The post-holder
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/drc/ ). About the role The role will contribute to on-going research at the UCL Hawkes Institute to develop advances in computational modelling of neurodegenerative disease, machine learning, and big
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related field. You have experience working with time-use surveys and a solid understanding of quantitative research methods. You are comfortable working with large datasets and using statistical software