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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
are interested in nanoparticles of different materials and compositions to compare to our standard biocompatible and non-inflammatory polystyrene nanoparticles in animal vaccine models, as well as their mechanism
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numerical modelling studies within: Microbial growth in hydrogen storage salt caverns and the interplay with transport processes (diffusion and convection) The bio-geo-chemistry of leakage from CO2 storage
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life emerged. As a PhD candidate, you will evaluate scenarios through numerical modelling of mantle dynamic and lithosphere (de)formation processes, using the range of possible Hadean compositions and
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data
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progress. In this project, you will characterise the microbial, metabolic, and functional composition of FMTs used to treat patients. Your aim will be to identify the key bioactive agents within donor