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in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill
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observation for oil spill monitoring You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection of oil spills in
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position within the research project “Statistical Methods for Online Detection of Anomalies” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre
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The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
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Fellowship at the University of Oslo. Project description The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas