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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista
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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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industry, the eight-year project aims to contribute to the green transition of the construction sector. The PhD project will be conducted within the Structural Health Monitoring and Assessment of Timber
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research in collaboration with stakeholders. The PhD project is part of two key initiatives: the Competitive Timber Structures research profile and the BioGlue Center: Competence Centre for Bio-based
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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also
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and information science, interaction design, or has equivalent scientific competence. Equivalent scientific competence generally refers to a degree from a foreign university with essentially the same
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are coursework and 150 credits are devoted to the thesis. The following link provides additional information about our doctoral studies: https://lnu.se/en/research/PhD-studies/business-administration/ The
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production. While discussions often focus on whether or not cows should have pasture access, little attention has been given to how these pasture periods should be managed to optimize welfare. This PhD project
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of teaching, as well as supervision and examination. Teaching expertise should furthermore include a reflective approach to students’ learning and to the applicant’s own role as a teacher. Further assessment