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, training deep learning models to adapt designs to boundary conditions, and integrating FEM workflows within parametric modeling environments like Grasshopper. The candidate will contribute to building a
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affecting the intestinal epithelium and the possible partners related to the different phases of the disease. The work will be a combination of ex vivo organoid cultures, in vivo disease models, combined with
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strategically important role in the shift towards a greener and more circular economy. Duties of the position Develop computational models and perform corresponding simulations to examine the behaviour and
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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outcomes. Computational biomechanical models of the MV will be developed to offer new insights, create mechanical markers for MR progression, and evaluate repair techniques through simulations. Despite
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winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain models and observations
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prone to change and decline. One project component analyses and models the effects of climate-induced cryospheric changes on water flows. The other project component, to which you will contribute
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years ago. Its main goal is to unravel where, when, and why early humans started to think and behave the way we do today, by combining archaeological excavations and dating with climate modelling
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energy-efficient buildings Methods and models for energy demand calculation of buildings and/or neighbourhoods Methods and models for environmental life cycle assessment of buildings and/or neighbourhoods
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Operations research group is dedicated to developing and showcasing digital twin models for selected vessels through extensive ship performance and navigation data. The position is funded by the TwinShip