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details Prof Jon Goss , School of Mathematics, Statistics and Physics [email protected]
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, three major charities and the Office for National Statistics, and works in close partnership with a large network of partners and leading international research teams. We believe that a diverse and
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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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the Office for National Statistics, and works in close partnership with a large network of partners and leading international research teams . We believe that a diverse and supportive environment
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assess potential health inequalities. Facilities The PhD student will be based in Population Data Science at Swansea University with visiting PhD Student Status at the Department of Statistics
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to applicants with experience in one or more of the following: machine listening, deep learning, acoustics, signal processing, computer vision, spatial audio, NLP, statistical analysis, software development
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, publishing journal articles, conference presentations) Experience of using statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should
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, good clinical practice, medical statistics, time management, paper writing). Literature research Manuscript writing for submission to peer-reviewed journals) Attend weekly research meetings Other
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. The aim of the project is to replace existing methodologies involving extensive experimental campaigns, which are generally expensive and time-consuming, even when supported by statistical design of