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of handling laboratory animals is required as this will be optional. Good IT skills with Word, PowerPoint and Excel are essential and some knowledge of statistics is desirable. How to apply Interested
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(CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require identifying relevant treatments and their associated Health Resource
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to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations
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, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using
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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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led to the development of a key statistical tool that paired public sightings of suspected unowned cats with confirmatory data to enable robust estimates of unowned cat populations (termed an integrated
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candidates with a good understanding of bacterial physiology/genetics and antimicrobial resistance, statistics, and an enthusiasm for mycobacterial research. Experience in some aspects of bacterial culture and
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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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normal horses will be subjected to detailed characterisation of their protein “fingerprint.” Advanced statistical methods will be used to identify proteins that might be diagnostically useful