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the programming of data loggers. Essential Application Excellent data analysis and scientific programming skills, e.g. in MATLAB or python. Essential Application Experience of academic research in engineering
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at application/interview) Desirable criteria Knowledge of a programming language (Python, Javascript, C#, C++, etc.). (assessed at application/interview) Experience in Industry 4.0 technologies such as: IoT, cloud
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of particulate processes using appropriate software packages such as gProms, EDEM software, Python, Matlab. Write up own research and contribute to the production of research reports and publications in order to
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solid understanding of solid mechanics, continuum mechanics and material behaviour. Proficiency in programming (e.g., Python) and experience with numerical methods (e.g., FEM) are desirable. Familiarity
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relevant analysis methodologies. Essential Application/Interview Experience of quantitative data analysis using appropriate software (e.g., R, Stata, Python). Essential Application Dissemination of research
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Science, or a related field with a strong focus on techniques relevant to digital twinning. [assessed at application] Proven experience in python programming and code development. [assessed at interview
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technologies. The postholder will need to attend and present at meetings internationally. Applicants will need excellent communication, networking, and organisational skills as well as some knowledge of Python
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numerical modelling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not essential
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with software and systems architectures. Proficiency in programming languages such as C/C++, C#, Java, or Python. (assessed at: application/interview/task) Further Information Grade: 8 Salary: £48,149
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the application criteria in the application statement when you apply. Essential criteria Demonstrable experience with R and Python (assessed at application / interview / test) Knowledge of User Acceptance Testing