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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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. Under the guidance of the supervisor, the candidate will conduct experimental tests on composite samples to evaluate properties like crack propagation speed, GI,C and GII,C (mode I and mode II fracture
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). • Experience handling large datasets from empirical studies, surveys and GIS desirable. • Interest and experience conducting research in livestock systems, agricultural technologies. • Interest in
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and processing spatio-temporal data using e.g. GIS, and have basic understanding on modelling (statistical or process-based) You are a team player with good communication skills, you like to write and