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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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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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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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geoenvironmental test work approaches and new or emerging technologies/techniques in this area Data science experience (including programming/coding) is desirable Industry experience or placements in the minerals
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and team-based research, contributing to publications, attending conferences, developing research materials, and occasional teaching. The Research Fellow will also design experiments, develop code