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research group for a medical statistician or epidemiologist to work on a highly innovative research collaboration with University of Hong Kong (HKU), funded by Innovation and Technology Commission
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public and global health research, education and translation of knowledge into policy and practice. The school is seeking to appoint a Research Fellow in Medical Statistics, Data Science or Health
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mental and physical health. The successful candidate will have skills in advanced quantitative methods including longitudinal data analysis, the use of time-series and panel data, and using GIS to generate
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based in London. Applications should be made on-line via our jobs website by 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . The supporting
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queries regarding the application process may be addressed to [email protected] . The supporting statement section should set out how your qualifications, experience and training meet each of the selection
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inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering
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analyst to develop models to predict dental disease outcomes from structured and unstructured patient electronic medical and dental records to lead and proactively support the organisation to deliver
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achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking to recruit a Research Fellow (1.0 FTE) to work on a process
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the disease process demonstrates the importance of studies aiming to understand the genetic architecture and underlying mechanisms of HCM susceptibility in order to develop better tests for early identification
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the UK Medical Research Council and is available immediately. The salary will be on the Academic Pathway salary scale, Grade 6 in the range £43,947-£49,908 per annum (inclusive of London Weighting