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-ground processes and pollination. The research combines controlled experiments, advanced measurement and multiphysics modelling, and will generate open datasets and workflows to catalyse the emerging field
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circulation systems can be designed and operated to achieve higher net energy yield and more sustainable long-term operation. This may include models and control strategies that can improve system performance
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-conventional geothermal energy into data centre cooling in Singapore. We are seeking a Research Fellow to lead the development of advanced modelling and design methodologies for integrated hydrogen-energy
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another related field; Strong skills in power system modelling and optimization; Good command of the English language and good English writing skills, Good communication skills and ability to work in a
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laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex
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may play in stress responses, below-ground processes and pollination. The research combines controlled experiments, advanced measurement and multiphysics modelling, and will generate open datasets and
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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, accessible, interoperable, reusable). Create high-quality, ML-ready datasets through feature extraction, multivariate analysis, and robust quality control workflows. Modelling & Machine Learning Develop hybrid
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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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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics