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in English and Mathematics grade C/4 minimum (or equivalent level 2 qualification). Experience of medical data entry and data validation techniques. Able to query and maintain computer databases. Must
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with information of a confidential nature. Aptitude for learning and applying new skills, and once trained have the ability to work independently to gather information or simply finding missing
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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based on sound evidence. Our Birmingham Professional programme operates across the University, supporting colleagues to network and collaborate, offering opportunities to learn and develop, contributing
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of Birmingham Background The School of Chemical Engineering is organised into three primary research themes: formulation engineering, energy, and healthcare technologies. The school's practical learning and
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geotechnical engineering, archaeology, geophysics, sensing and machine learning, with group members from seven different countries, speaking over ten different languages. Perks of this role include: Opportunity