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Professor is expected to be proficient in fluvial geomorphology, as well as in geoinformatics and remote sensing methods as part of hydrological research and societal applications. Research achievements
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and climate, but you are expected to react also to actual research topics in a broader sense. Your tasks include planning and leading research projects and working in those, as well as developing both
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Mathematics for Sensing, Imaging and Modelling (FAME), funded by the Research Council of Finland for the period 2024 – 2031, as well as the Finnish Centre of Excellence in Inverse Problems Research 2018-2025
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region (under the changing climate). Experience in utilizing and developing advanced field and experimental research methods, large datasets as well as statistical, modelling, or remote sensing approaches
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geoinformatics study module https://blogs.helsinki.fi/marv-gis-en/ which is offered forest science study programs, and geoinformatics & remote sensing study module https://blogs.helsinki.fi/forest-sciences-gis-en