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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3 of the fellowship, including a plan
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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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is 3 years. It is a requirement that the project is completed in the course of the period of employment. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) is to be developed jointly by
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. The fixed term period for this position is 3 years. It is a requirement that the project is completed in the course of the period of employment. For all LEAD AI fellows, a Personal Career Development Plan
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development, while contributing to finding solutions with practical significance for the energy transition in society. The high demand in the labour market for personnel with the knowledge and skills
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unique opportunity for specialisation and personal development, while contributing to finding solutions with practical significance for the energy transition in society. The high demand in the labour
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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train
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management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggerated in