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, is available at the Department of Biology of the Norwegian University of Science and Technology (NTNU), Trondheim. The Vandegehuchte lab is part of the Biodiversity, Ecology, and Evolution (BEE
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biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends
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to perform field testing, leaching analysis, and ecological assessment of the developed materials in lab and field environments. Collaborate with project and industry partners, and contribute
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), affiliated with the Arctic Marine System Ecology research group and the laboratory for Sea Ice Biome research (iSIBio ). The position is for a period of 2 years. The candidate must be able to commence the
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to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy
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qualities required for such purposes. Digital terrain models will be used to efficiently map cultural remains under forest canopies. The second project (Mapping Natural Forests in Norway) focuses on mapping
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to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest information at local and landscape scales Develop machine
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) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no
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for the three-year fellowship period. If you have employed AI-powered generative language models to prepare the project description, a declaration must be included at the end of the document, stating