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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 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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Chemistry. The thesis project will focus on computational models for assessing exposure of organic pollutants in zebrafish. The position is for four years of doctoral studies, including participation in
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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
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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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of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
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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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presence in Jönköping. Qulification For this position you need to have: a master degree in relevant subject. proficiency in model-based systems engineering (MBSE) directed towards aerospace applications
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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