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Field
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, bioinformatics, and ecological modeling. Results will inform future biodiversity monitoring frameworks, adaptive forest management, and conservation policy. At the Department of Wildlife, Fish and Environmental
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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
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help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will
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about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems
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fertilization, both experimentally and with modelling. You will analyze long-term growth trends using tree cores from field sites along a climatic gradient, and study physiological and morphological acclimation
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-year project the student will primarily do research in silviculture and modelling of growth and yield in boreal forest. The PhD student will get a research education in silviculture with training in
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of the PhD student position is a doctoral degree. In this 4-year project the student will primarily do research in silviculture and modelling of growth and yield in boreal forest. The PhD student will get a
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evaluation of the framework in simulated/real total defense relevant environments. Duties A doctoral student position involves both theoretical and practical work. As a doctoral student, you are trained in
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Earth-system models. Qualifications: The successful candidate must meet the following qualifications: MSc degree in Environmental Sciences, Ecology, Biology, Soil science or any other related field A
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well as high motivation to pursue doctoral studies. Previous experience with plant nitrogen physiology, trees as a model system, genetics, genomics, and bioinformatics are valuable merits. Place of work: Umeå