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–brain axis, the project combines behavioral and physiological measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with
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, tasks have a continuous evolution, and the precedence graph becomes dynamic. There is an initial method proposed in the literature, where a static model is proposed, introducing two states of products
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with great relevance also to human health. While being a basic research
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See advertisement The position We have a vacant position for a postdoctoral research fellowin sea ice, who will work on the analysis of satellite remote sensing data of sea ice, including landfast ice
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parameterisation, sensitivity analysis and optimisation is an advantage. Good competence in time series analysis, dynamical systems theory and bifurcation analysis is an advantage. Interest in translational
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established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where might alternative or hybrid
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supports these educational activities and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants
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tools without disrupting established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where
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and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an