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Field
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/ML/CV venues Proficiency in Python and deep learning frameworks Experience in machine learning, computer vision, or NLP Strong communication and collaboration skills Our commitment to inclusion and
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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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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
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dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling techniques to model the ecology of wildlife
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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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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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, 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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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
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experience in modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application