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throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the project Optimization of Energy Transfer in Shallow Geothermal Wells. The goal is to develop knowledge, models, and
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predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling
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predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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models and predictive tools to improve battery performance, lifetime and safety. RaRR is a new project commenced in WMG in October 2025, funded by EPSRC and HVMC, with a focus on second-life battery
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically