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View All Vacancies Department of Medical Statistics Salary: £43,947 to £49,908 per annum, inclusive. Closing Date: Wednesday 24 April 2024 Reference: EPH-MS-2024-02 The London School of Hygiene
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will be to: Research statistical methods and industrial production theory to develop a generic approach to the problem. Compile a comprehensive list of manufacturing parameters, material properties and
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data for digital pathology approaches. Applicants should have a strong computational background and expertise in dealing with large datasets. Excellent programming, data analysis, statistics and deep
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and Surveillance group. Within a week of working here, your day could look like this: you will be applying your epidemiological, statistical and leadership expertise to a range of studies to develop and
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apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by clinical AI. Explainability – the postholder will apply standard approaches
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and qualitative student data to inform strategic decision making. Successful candidates will have demonstrable previous experience in the statistical analysis of data, preferably student data across
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clinical predictions. Uncertainty quantification – the postholder will develop and apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by
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group of Dr. Mario dos Reis, as part of a BBSRC project on development of Bayesian methods to analyse large genomic datasets. We seek a highly motivated individual with relevant background in statistics
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strong critical thinking and problem-solving skills, a high level of numeracy and the ability to interrogate large, complex datasets in Excel or statistical packages, you should have a background of
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, but not limited to, health informatics, digital health, bioinformatics, statistics, genetics, epidemiology, computer science, information systems engineering). Experience or knowledge of the role