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-driven to advance with their research project. Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking. Follow our PhD program that
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of mechanical preparation, microscopy and SEM on fossil material. • Knowledge in computed X-ray microtomography with segmentation in Avizo. • Skills in scientific illustration. • Knowledge of a
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mechanics, complex fluids, physics and biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about
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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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employment period is three years. A premise for employment is that the PhD Research Fellow will be enrolled in USN's PhD-program in Technology within three months after accession. About the PhD-project
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
with the communities and the industries" Questions about the position Marit Engen Head of PhD programme +47 61 28 81 07 marit.engen@inn.no Nurilla Avazov (Impact of AI on Firm-Level Innovation) Associate Professor +47
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Postdoctoral Research Fellow in Computational fluid mechanics and physics of porous media Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at the Njord
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utilizing principles from thermodynamics, electrochemistry, and solid mechanics, these models enable a detailed understanding of processes such as charge transport, thermal management, and degradation
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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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increasingly recognized as a key factor in understanding climate variability and have the potential to improve seasonal to decadal climate predictions. The PhD candidate will investigate mechanisms of such basin