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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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across data, cloud, and business intelligence engineering. Advanced proficiency in SQL, Python/PySpark, and database schema development, with experience managing structured and unstructured big data
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, Python, JavaScript, Ruby) for developing interactive, data-driven visualisations. Strong collaboration and communication skills, with the ability to convey technical concepts to diverse audiences in
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in Python or R; demonstrated experience in preparing or contributing to competitive grant applications; strong quantitative research skills, including data analysis and interpretation of IEQ
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least five years of experience in software development, with at least one year in a senior developer role. Experience with a range of programming languages, which could include Python, VBScript, HTML, SQL
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) Assist the Data Analytics Specialist in developing and maintaining data pipelines (utilising Python and SQL) Maintain and optimise web and mobile tagging using Adobe Launch to ensure accurate attribution
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analysis language, eg. R or python, proven experience with core analytical methodologies, such as reference-based mapping and phylogeographic and/or statistical methods demonstrated ability to organise and