13 condition-monitoring-machine-learning PhD positions at Swedish University of Agricultural Sciences in Sweden
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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Umeå, Sweden. The department offers a creative and stimulating environment and performs internationally recognized basic and applied research, education and environmental monitoring in the research areas
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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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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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of the ongoing environmental monitoring programs the National Forest Inventory, The National Inventories of the Landscapes in Sweden, Terrestrial Habitat Monitoring and the Butterfly and Bumblebee Inventory. In
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that encompasses research units in Chemical Ecology, Resistance Biology and Integrated Plant Protection. Both applied and fundamental research are performed at the department, providing an excellent learning
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investors' perceived barriers and preferences toward FBCs Explore organizational structures to efficiently broker and monitor FBCs Generate a Blueprint for societally-desirable Swedish FBCs. The profile
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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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environmental conditions can be maintained through continuous cover forestry. The student will work experimentally with the translocation of vascular plants, lichens, and mosses to study their survival and growth
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student is supposed to learn how forestry works and to conduct tasks independently. It will also create opportunities to connect research to applications in operational work. Qualifications: We are looking