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is a 2–year position from 1 March 2027. This is a fixed-term position to end on 28 February 2029. Job description This Postdoc position broadly aims at analyzing satellite time series to understand
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February 2029. Job description This Postdoc position broadly aims at analyzing satellite time series to understand ecosystem responses to environmental stressors and disturbances, including extreme
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quantifying methane emissions. A special focus will be on exploring how our local drone data can be combined with satellite observations, using machine learning and other modelling approaches, to
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be combined with satellite observations, using machine learning and other modelling approaches, to improve methane emission monitoring efforts. The position includes field campaigns that the
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and biological sciences. This includes the integration of various types of field-based and sensor-based data (soil, acoustic, images, and species data), as well as historical maps and satellite- and
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, acoustic, images, and species data), as well as historical maps and satellite- and drone-based data. By addressing research questions relevant to data science, biology, and agroecology the aim is to improve