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entering a phase where AI adoption increasingly affects financial decision-making, cost structures, investment strategies, and long-term value creation. AI influences how companies allocate capital and
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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both written and oral English. Proficiency in Scandinavian languages is an asset. be able to work independently and in a structured manner and to collaborate with others. A grade of B or higher
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organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy 2023-2026. About the project/work tasks: The PhD fellow is
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upon by individuals, communities, policymakers and organisations. More information about CET’s research focus can be found on the website https://www.uib.no/en/cet and particularly in the CET Strategy
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, phylogeny, and conservation status of Malagasy Erica (Ericaceae) as part of the Threatened species conservation team: https://www4.uib.no/forskning/forskergrupper/threatened-species-conservation . About the
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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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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with post-DFT analysis and processing tools for electronic structure
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situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction
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resources by being designed as dual-purpose elements targeting geothermal heat exchange and structural support for buildings. Yet, their wider use has been hindered by the lack of (i) sustainable expertise