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University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department
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(BI) aims to develop computational models and calculation tools capable of predicting the structural behaviour of elements produced by accelerated carbonation. The work will integrate experimental data
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model by integrating the newly developed approaches into the numerical program developed in the ‘OceanCoupling ’ project. We would like the successful applicant to start in the first quarter of 2026
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numerical model (RCM), at a regional scale, making use of simple, robust, and computationally efficient parameterizations to predict the evolution of a barrier island in response to sea-level rise