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fuel structure, processing 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
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evolve and adapt to new environments—both at the population level and within individual hosts. In addition, various experimental model systems are used to study in detail how virus-host interactions
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in vitro tissue models ideally need to account for the complexity of ECM composition, extracellular and intracellular forces, and reproduce specific microenvironmental conditions. This doctoral project
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on understanding how conifers adapt to new environments by developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit
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competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to
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developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit: Department of Forest Biomaterials and Technology | slu.se
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a
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utilizing lung epithelial cell and in vivo models. Different airway epithelial cell cultures models will be developed to study ON uptake and effect in (patho)physiological conditions of lung diseases
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employment and offers secure, beneficial working conditions? Welcome to apply for a doctoral