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the microscale up. The developed technologies will be validated in half-cells and full working batteries at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and
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migratory species, invasive species, and pathogens across forest ecosystems affected by intensive forestry. Leveraging a globally unique 60-year archive of weekly air filter samples from Kiruna and newly
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across forest ecosystems affected by intensive forestry. Leveraging a globally unique 60-year archive of weekly air filter samples from Kiruna and newly collected samples from Skåne, the PhD student will
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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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at The Department of Forest ecology and management. The department includes about 115 people of which 9 are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed
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of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like
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at The Department of Forest ecology and management. The department includes about 115 people of which 9 are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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in this project. As successful candidate, you will investigate predisposition of trees to drought stress by long-term fertilization, both experimentally and with modelling. You will analyze long-term
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of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote sensing data includes airborne and