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You must meet the requirements for admission to the faculty's Doctoral Programme Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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provides a thriving research environment for postgraduate researchers, fostering a strong sense of community across disciplines. PGRs benefit from training through the Researcher Academy Training Programme
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The Faculty of Engineering, Department Electronics and Informatics, Research Group Research-Development-Innovation is looking for a PhD-student with a doctoral grant. We invite applicants for a
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master's degree in one of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within Bioinformatics. You must moreover exhibit
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level equivalent to a two-year master's degree in one of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within
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. This program will cultivate a new generation of “Q-System Innovators,” equipping doctoral candidates with expertise in quantum networks, hybrid classical-quantum systems, and interoperable cultural co-design. By
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-erklæringen var sist oppdatert 23.02.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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The PhD project aims to develop dynamic pressurisation techniques for real-time crystallography and spectroscopy studies of samples in a liquid environment. It will be used for in-house macroscopic measurements and integrated into multiple national central facilities, including the Central Laser...
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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin of their remnants (including predictions for GW sources); mixing and transport processes in the...
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning