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in the development of cutting-edge statistical methods and machine learning algorithms inspired by massive healthcare datasets. Key Responsibilities Develop innovative statistical methods and machine
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SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security
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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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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
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Reference Number 234/35/049 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your function The Center for Statistics (CenStat, research group within DSI) is looking
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, collaborative science, and high-quality research. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Doctoral degree in mathematics, statistics, computer science