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, using Hubble Space Telescope (HST) images as input into radiative transfer models. The ultimate objective is to calculate an improved estimate of the Bond albedo of Uranus, with well characterized
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tasks require high-frequency evaluations of forward models, in order to quantify the uncertainties of rock and fluid properties in the subsurface formations. Therefore, the objectives of this research
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systems, and multi-objective optimization. Prof. Freja Nygaard Rasmussen – life cycle assessment Prof. Sebastien Gros – decision-making, energy use, AI and machine learning Dr. Signe Riemer-Sørensen - AI
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