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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science
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a prototype for identification of critical locations in steep rivers in regard to flash floods was developed. The prototype is implemented in NorKarts GIS application. The project revealed a large
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab