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following skills and experience: Essential criteria PhD qualified in relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R
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in R. The post is fixed term for 2 years and full-time 35 hours per week, 1.0 FTE. The post is funded primarily through two UKRI grants, and one Bill and Melinda Gates grant. The salary will be
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other services for foreign scholars is available from the CZU Welcome Centre (https://www.czu.cz/en/r-9190-internationa1-relations/r-18688-welcome-centre-for-international-scholars ). Recruitment and
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skills (R, Unix or Python) to develop research programmes in this area, and familiarity with experimental NGS sequencing approaches. Please ensure you read the Job Description and Person Specification
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, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. Please quote reference:661-25-R Closing date: 26 June 2025 Interview date: TBC
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relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R) Research experience in Public Health/Epidemiology/Informatics
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excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R or a similar software package, and good
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of Survey Methodology. You will also have excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models