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manager will be head of department Marius Stian Tannum and your supervisor will be Associate Professor Pai Lu. It is a prerequisite that you live close by so that you can be present at, and available
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. The specific research direction will be shaped in part by the candidate’s interests and background. Possible avenues for investigation include: The Martian water cycle, focusing on near-surface water vapor
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efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be adapted for monitoring the state, performance and health of maritime equipment and systems, as
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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language
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years in the Norwegian educational system Documented experience with designing and conducting user experience studies and quantitative performance evaluation Documented experience in the system
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well as strategies for improving performance by optimization of composition, microstructure, and the interface to the proton-conducting electrolyte. The content of the PhD Research Fellowship can be tailored according
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conducting user experience studies and quantitative performance evaluation Documented experience in the system performance evaluation of computer systems and networks for interactive applications, preferably
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Good communication and collaboration skills Positive attitude and the ability to handle hectic periods Ability to create and contribute to a well-functioning, inclusive and productive research
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collaborators both in the University of Oslo, and outside (https://www.mn.uio.no/geo/english/research/projects/dynamice/index.html ). About the DYNAMICE project: Ice and olivine, the main building crystals