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the ideal of fully open software while sustaining a long-term funding stream. The position is offered on a permanent basis and is full-time. Applicants will have completed a relevant PhD/DPhil with post
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-quality epidemiological research and statistical analyses using complex, large-scale health data. You will support study design and analysis, contribute to publications and funding proposals, provide
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issues. It is essential that you hold a PhD/DPhil in a relevant subject area (e.g. computer science, bioinformatics, mathematics, medical statistics, statistics). You will have extensive knowledge and
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to research students. To be considered, you will hold a relevant PhD/DPhil with significant postdoctoral research experience with a strong background in statistics, statistical genetics and population genetics
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, keep details and comprehensible record your work and take leadership in more specialised publications. To be successful in this role, you will hold PhD in Bioinformatics, Statistics, Mathematics
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established in the group, and to develop new approaches to integrating mechanistic and AI/ML models. Experience in a wide range of mathematical, statistical and computational methods is essential. You will be
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website to find out more about the Department. About you It is desirable that you have a PhD in a relevant discipline, such as Statistics, Epidemiology, Mathematics or Bioinformatics. However, if you have
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in a relevant discipline, such as Statistics, Epidemiology, or Mathematics and relevant experience in statistical/mathematical modelling. However, if you have relevant experience but no PhD, you are
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statistical analysis. It is essential that you hold a PhD/DPhil in a Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject, and have demonstrable experience, ability and
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quantitative subject), and having achieved or being on track to achieve a PhD or Masters in mathematics, statistics or medical statistics. They should have an enthusiastic hard-working approach, be keen to