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years, CropXR focuses on creating eXtra Resilient (XR), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart
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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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densification model forced by high resolution output from the regional climate model RACMO to simulate the evolution of the Larsen C firn layer in the recent past (1950 to present) and into the future (up to 2100
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PhD Position in Causality-Aware Explanations for Probabilistic Graphical Models Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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storm surge barriers and their hinterlands. Your role will be to develop and apply long-term (until 2100) eco-geomorphological (Delft3D) models of the Dutch delta to simulate the interactions between
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caused by basal melting below ice shelves and by the calving of ice at the front of tide water glaciers or ice shelves. We will do this with an ice sheet model (UFEMISM) which is adaptive in space and time
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of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University external link . About us A better
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will develop numerical models to simulate fluid injection-induced fracture and flow behaviour, as well as permeability evolution in fracture systems, utilising fracture networks mapped from geothermal
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interdependencies between inspection items using probabilistic graphical models like Bayesian networks. These models aim to support interactive inspections by prioritizing items dynamically, combining data-driven
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between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in