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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole
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to reconstruct the sequence and duration of events from multimodal video sources Use multimodal data combining event recognition with risk prediction Create fine-tuned generative AI models that transform video
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and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity on salt flow and the internal architecture of deformed salt bodies
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”, an interdisciplinary project integrating 2D and 3D seismic and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity on salt flow and the
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on Arctic temperatures, and to upgrade seasonal sea ice forecasts from state-of-the-art modelling systems by assimilating summer ice thickness observations. The role of this position is to support the
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, which aims to characterize bile duct inflammation in order to identify targetable molecular pathways using a range of multiomic techniques. In-depth characterization of animal models of bile duct
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synergistically integrates different renewable energy sources such as solar photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modeling
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evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions. The candidate will employ a range of cutting-edge
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observations and reanalysis data, coupled with detailed evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions