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ability experience in R and / or Python. statistical knowledge and application experience handling large datasets Bash / Linux knowledge good experience of English in both spoken and written form self
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command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge of collaborative software development tools Hands
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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requirements: Very good oral and written proficiency in English. Ability to drive and independently progress the project Strong computational skills with considerable experience with programming with python