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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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-economic assessment. Qualifications in spatial analysis and GIS. Experience in quantitative, predictive or stochastic modelling, data analysis, and machine learning. Experience with Python and
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methods. Proficiency in relevant software for quantitative and spatial data analysis (e.g. R, Python, or GIS) is desirable. As the project draws on geological, material culture, and computational
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industry partners Willingness to do hands-on work underground and in the laboratory Basic programming ability in Python, MATLAB, R, or similar Ability to work on site in Otaniemi campus. Demonstrated
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independently and in a team, and an interest in working with industry partners Willingness to do hands-on work underground and in the laboratory Basic programming ability in Python, MATLAB, R, or similar