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of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
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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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regulate disease progression. The research is therefore often based on complex and multifaceted (often longitudinally collected) data that require advanced biostatistics and modelling. Furthermore
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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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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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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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well as high motivation to pursue doctoral studies. Previous experience with plant nitrogen physiology, trees as a model system, genetics, genomics, and bioinformatics are valuable merits. Place of work: Umeå
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accompanying employment within the research group for Surgery. The research group includes both clinical and pre-clinical researchers. Clinical, epidemiological and laboratory-based research is carried out by
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penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows and precision medicine based on gene sequencing time
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, hydrogen bonding, and energy transfer mechanisms at interfaces. By integrating molecularly engineered photoelectrodes with advanced spectroscopy and computational modeling, this research aims to establish