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proven statistical knowledge and expertise in statistical analysis (including multivariate analysis and data management) as well experience in relevant software packages, e.g., SPSS/STATA and R, you will
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diverse international settings. Proficiency in analytical and statistical software. Excellent networking and partnership-building skills. Desirable criteria Experience working in African, Latin American
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statistical knowledge and expertise in statistical analysis (including multivariate analysis and data management) as well experience in relevant software packages, e.g., SPSS/STATA and R, you will have
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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, perinatal mental health, child health). High degree of competence in standard medical statistics and in using statistical software packages (e.g. R, Stata or Python). Experience working with large-scale
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for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications, open-source software development, and training materials. This position is full-time and fixed-term
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—and machine learning to work within established research programmes. A strong, demonstrable experience in research software development using Python programming language and modern machine learning
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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in interdisciplinary and international teams. Track record of doing research in diverse international settings. Proficiency in analytical and statistical software. Excellent networking and partnership
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of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project Develop software for the analysis of simulation data Contribute to further developments