3 machine-learning-phd positions at Swedish University of Agricultural Sciences in Sweden
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that enhance the quality and efficiency of forest management planning. The PhD student will combine remote sensing with machine learning to detect cultural remains, predict terrain accessibility, identify
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
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the state of soils and waters. The department is responsible for several important research infrastructures in the form of soil chemistry and soil physics laboratories, a computer tomography, a lysimeter
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