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work on developing improved methods using deep learning with 3D point clouds to characterize forest ecosystem structure and function. 3D point clouds from LiDAR and photogrammetry provide an excellent
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10th November 2025 Languages English English English Do you want to develop methods in the interface between AI and forest ecosystems? PhD scholarship: methods for characterizing forest structure
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educational background and completed research work. Your application must also contain a plan for your doctoral project which includes: project description plan for the training component progress plan funding
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unique training opportunity in cutting-edge methods, theory, and transferable skills within an international consortium of leading universities and non-academic partners. ENERPOL training includes: (1
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unique training opportunity in cutting-edge methods, theory, and transferable skills within an international consortium of leading universities and non-academic partners. ENERPOL training includes: (1
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probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Dissertation on a topic in business economics, industrial
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component may be incorporated to anticipate future sensory states and provide stabilizing priors. The anticipated outcome is a robust, predictive mapping and understanding system capable of sustaining
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elements of the heathland mountain flora. Heathlands are a key component of the prehuman vegetation mosaic of central Madagascar and Erica species play an important role in their natural fire ecology
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of diversity in South Africa and Madagascar. In Madagascar, 35 currently recognised species form common elements of the heathland mountain flora. Heathlands are a key component of the prehuman vegetation mosaic
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of the methodology. The use of new methods and new technology is a key component of the SmartForest center for research-based innovation. The center is led by the Norwegian Institute of Bioeconomy Research and NMBU is