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to undertake complementary, ambitious two-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and
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-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and uncertainty in the ocean environment affect
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on the research and contribute to the preparation of manuscripts. The successful candidate will have a postgraduate, ideally doctoral degree in medical statistics or a relevant field and proven biostatistics
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an excellent opportunity for someone who wants a career in “big data” research. The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a
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an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Research Fellow will conduct statistical analyses
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Impairment Study 2 (BCVIS2), ascertained through primary clinical data collection and bespoke individual record linkage to the National Pupil Dataset (NPD) and Hospital Episode Statistics (HES) data. This is
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fluorescence- or luminescence-based readouts would be desired. You should be confident analysing quantitative experimental data, including concentration–response experiments, EC50 determination and statistical
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. The successful applicant will work closely with academic and NHS collaborators including Guy’s and St Thomas’ NHS Trust and the ICR Clinical Trials and Statistics Unit. The post is fixed term for 3 years. It is
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable