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, vulnerability, and cybersecurity, integrating resilience as an explicit aspect of security of electricity supply; tools to increase situational awareness. Methods for risk analysis of the complex
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either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning, or matrix factorization, is an advantage. Experience with management and analysis of large datasets
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Professor Ole Gunnar Dahlhaug. About the project Hydropower plants are increasingly operated in a flexible manner to balance variable renewable energy production. This results in complex variable-amplitude
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Experience with risk analysis, process safety, or safety engineering. Familiarity with accident databases, modelling of complex systems, or network analysis. Experience with scientific writing and conference
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dominated by power electronic converters”. You will join the research group Power System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our
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increasing demands for safe and efficient operations due to growing traffic, more complex vessels, and higher safety requirements. Simulator-based training is essential for preparing maritime professionals
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application process here. About the position The maritime industry faces increasing demands for safe and efficient operations due to growing traffic, more complex vessels, and higher safety requirements
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
microstructure evolution during extrusion is critical for controlling final mechanical properties and surface appearance of extruded profiles, yet quantitative predictions remain challenging due to the complexity
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analysis tools and ignore the coupling effects, often due to model complexity. This project is based on our earlier experience in drivetrain and global models aiming to build near real time hybrid, data
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on the analysis of complex event history data, with some relevant topics being the analysis of outcomes under competing risks, studies of individual heterogeneity, estimation using machine learning methods and