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Field
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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Physiology and heritable climate adaptation modeling The Swedish University of Agricultural Sciences (SLU)www.slu.se has a key role in the development for sustainable life, based on science and education
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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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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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influence yields and other ecosystem services, as well as product quality and the surrounding environment. We teach about crop production, plant ecology, eco-physiology, weed biology, and crop production
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information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating
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inventorying forest biodiversity. Possible areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling
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areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling new techniques for detecting and
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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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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