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of farm animals and to develop the genomic breeding methods of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new
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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