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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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and Computer Science carries out research within Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is
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to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work
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at the Department of Informatics, University of Oslo. Starting date no later than January 1, 2026. The fellowship period is three years. A fourth year may be considered with a workload of 25 % which is devoted
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networks in order to enhance fog net technology. The planned work is experimental and will be conducted in our lab facilities, also incorporating theoretical models of complex flow. Fieldwork is planned in
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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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20th August 2025 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Energy Technology
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USN 17th August 2025 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in “TwinFlow: Digital
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Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science/ ). The research programme in Computer Science
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at the Department of Earth Science . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at the Department) and will be jointly supervised