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analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
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analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
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substantial experience with the R software for epidemiological analyses. The post is full-time 35 hours per week, 1.0 FTE and fixed term for 24 months. The post is funded by the Wellcome Trust and is available
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. Informal Enquiries: Louise Gray | Outreach Manager - Marketing and Recruitment (M&R) | Tel: 01228 297337 Email: louise.gray@cumbria.ac.uk We offer a comprehensive set of staff benefits which includes a
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/people/academic-staff/rory-cooper Selected relevant publications: Santos Durán, G., Cooper, R. L., Jahanbakhsh, E., Timin, G., & Milinkovitch, M. C., Self organised Patterning of Crocodile Head Scales by
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, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. Please quote reference: 446-25-R Closing date: Tuesday 9th
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This is an exciting opportunity to join an R&D intensive centre which has built a strong reputation for successfully delivering key projects and technology developments for the energy sector both
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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analysis according to the study protocol and statistical analysis plan. You should have experience in epidemiological analysis using routine healthcare datasets, along with advanced skills in coding in R and
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, R, or Python is desirable but not essential. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our