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journals Knowledge of hydrological data collection, curation, and analysis Ability to conduct a detailed review of recent literature Advanced computer skills including scientific data analysis (e.g., Python
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or Python to clean, process, and analyse data Supporting the development of structured datasets suitable for analysis and visualisation Assisting with structured analysis of both numerical and text-based data
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maintaining well-organised datasets that can be queried, analysed, and used in downstream applications Writing clear, reproducible code in R or Python to clean, process, and analyse data Supporting
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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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of computational modelling techniques in healthcare or biomedical sciences, and in programming languages such as Python or Julia. Experience working with medical imaging in a research environment and proficiency in
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related discipline, with experience in developing, implementing and validating algorithms. Confident coding skills (e.g. Python) and familiarity with modern software development practices, including version
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for Health across the School of Public Health Ability to work confidently with R and STATA/ Python To develop a broad range of research within the department, including methodological research in
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, biomechanics, or airflow/fluid dynamics Knowledge and hands-on experience with computational modelling techniques in healthcare or biomedical sciences, and proficiency in programming languages such as Python