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, such as understanding natural hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be
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relevant field (Informatics, Computer Science, Ecology, or Biology). strong Python programming skills proven experience with Machine Learning and image processing (Deep Learning/Object Detection) strong
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language (e.g., C++, Python), creative approach to solving work tasks, strong motivation for research and the ability to work both independently and within an international collaboration. Contract and
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well as interactions between social (socioeconomic and sociocultural systems) and natural environment, also via applying GIS. The graduate is capable to design mutually interconnected set of measures to support regional