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fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of capillary flow, drop impact, and wetting in fibrous networks
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. The fellowship period is 3 years. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of
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of the Information Modelling Framework (IMF: https://www.imfid.org) - a logic-based, scalable framework for representing structural specifications and domain knowledge across complex engineering and industrial systems
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-based, scalable framework for representing structural specifications and domain knowledge across complex engineering and industrial systems. The lab maintains a wide academic network and collaborates
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Ideas (IFIKK), Faculty of Humanities, University of Oslo. Interdisciplinary knowledge and education are essential for addressing complex problems and societal challenges. The PhD fellow will contribute
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contemporary streaming data scenarios, such as evolving baselines and complex, data-intensive settings. The applicant must master theoretical work in the field of change and anomaly detection and estimation, as
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project funded by the sustainability initiative at UiO. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development
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based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking across evolutionary biology, genomics, and
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available at NHM The position is fully funded and based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking
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at the Department of Philosophy, Classics, History of Art and Ideas (IFIKK), Faculty of Humanities, University of Oslo. Interdisciplinary knowledge and education are essential for addressing complex problems and