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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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modelling and design techniques, cloud and containerisation technologies, agile software development methodologies and practices, high performance computing (HPC) systems, programming languages, etc would be
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design methodologies, such as the Successive Approximation Model (SAM), to develop high-quality learning solutions – including rapid prototyping, stakeholder co-creation, and continuous feedback
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environment. Desirable criteria Experience with CAD and FEA software, preferably the Solidworks software package, particularly with more complicated assembly models. Knowledge of high-temperature thermo-optical
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training and certifications relevant to high-pressure lab environments. Exposure to core flooding systems or fluid flow modelling in porous media. Background in instrumentation, automation, and data