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researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
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sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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an excellent opportunity for the candidate to conduct high-impact research facilitating pursual of further academic and/or commercial ambitions within plant sciences after project completion. The work will be
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, you will conduct cutting-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related
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such uncertainties will help scientists and engineers to accurately predict when, where and how likely it is that extreme waves might occur. The candidate will conduct research and develop computational tools
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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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understanding of heat stress memory and provide a framework for targeted tuning of this mechanism. The project provides an excellent opportunity for the candidate to conduct high-impact research facilitating
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cutting-edge methods to industrially relevant reactions. The candidate will: Conduct catalytic experiments using advanced transient methods based on mass-spectrometry and surface spectroscopy Develop
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with joint supervision and secondment at the University of Cape Town. This will be decided before we conduct interviews for the positions. For the positions, moving to Norway is required and residence in