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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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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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academic network and collaborates extensively with industry, especially through externally funded European research projects. Key objective of the position: To advance foundational research
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referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant
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, and collaborative international working environment that values diverse perspectives Access to a strong network of top-level national and international collaborators Research mobility funds supporting
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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 across evolutionary
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contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world
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to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools
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environment that values diverse perspectives Access to a strong network of top-level national and international collaborators A reliable and generous pension agreement, along with strong public benefits
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. Graph Neural Networks (GNNs) are very successful for learning on KGs and solving the mentioned tasks, but also have great potential for incorporating symbolic knowledge due to strong connections between