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. Ability to undertake complex analyses and data modelling using programming languages such as Python, R and/or hydrological modelling packages, with adherence to FAIR data principles (Findable, Accessible
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; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is also valued; familiarity with international macroeconomic and trade
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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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the simulation and design of optical systems for spatial and temporal optical beam shaping. Demonstrated expertise in programming, especially C++, python, and/or Matlab. Ability to work both independently and as a
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at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage
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experience Demonstrated expertise and experience in process simulation software (ASPEN/DWSIM, Excel VBA Programming, Excel and Python coding Demonstrated experience in engineering economic analysis including