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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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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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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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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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is led by Johan Malmström, whose goal is to develop methods within proteomics to promote the implementation of precision medicine in sepsis. The group consists of senior researchers, postdocs, and PhD
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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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group of Peter Swoboda, together with collaborators, is investigating ciliogenesis and cilia function in human neuronal cell lines and in vivo in a genetically tractable animal model, the worm C. elegans
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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