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Field
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will work in a wide range of projects. The projects collectively show how sustainable forestry research combines advanced monitoring tools, ecological studies, and genetic approaches. They range from
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in a unique field manipulation setup with colleagues at the SLU campus in Umeå, combining fertilization history with early snow-melt in mature trees. Your work will be guided by experienced researchers
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given area by combining integrated sensing and communications (ISAC) data from infrastructure and devices. The goal is to develop methods that efficiently share spectrum while protecting incumbents
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for tracking both the state of and changes in our environment. In this project, you will: deepen your knowledge of sampling for objective data collection, combine different data sources to create cost-effective
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the status and the dynamics of plant populations. In this project, you will: combine simple species observation data with geographical map information, for example data derived from remote sensing, use point
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. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques such as X-ray diffraction (XRD) to characterize, at the molecular level
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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thus continuous aspects, into rule-based models of graph transformation in order to combine the individual strengths of both paradigms. Rule-based models are transparent and explainable; they make sense
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be used in catalytic applications. In particular, for multicatalysis in reactions including aerobic oxidations and others. This project is highly interdisciplinary combining organic chemistry