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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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Library and Information Science corresponding to a maximum of four years of full-time study and leading to a PhD. For more information about doctoral education at Linnaeus University, please visit
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well as providing guidance to PhD and MSc students. Teaching and supervision amounting to a maximum of 20% of full-time may be included in the duties. Qualification requirements Qualified for the appointment is
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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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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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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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and bioinformatics are revolutionising the field. The Zoonotic Ecology and Epidemiology research group at Linnaeus University is now looking for a PhD candidate to study ecology and epidemiology
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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