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, structural dynamics and structural reliability theory, and you will work with data and cases from real infrastructure. You will be supervised by Professor Jochen Köhler (structural reliability and risk
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and Risks in from Increased Loading’. It addresses the question of how to quantify the socio-economic benefits, as well as the risk with respect to reliability of supply, when operating transformers
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responsible for the HVT group’s laboratories, ensuring reliable and safe operation Support and guide PhD candidates and MSc students in planning and conducting experimental work Contribute to the design
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difficult for purely data-driven methods, including safety-critical operation, uncertain environments, limited data availability, and the need for reliable performance guarantees. In this project, you will
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hands-on and system-oriented; a closed-loop, verifiable prototype will be built, tested under realistic degradations and examined for different metrics such as latency, reliability, fairness and SLA
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data availability, and the need for reliable performance guarantees. In this project, you will investigate how the strengths of modern machine learning can be combined with the rigorous foundations
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education, research, or knowledge-intensive industry. The position reports to the Unit Leader of Colorlab. About the project The research will address the growing need for reliable methods that can assess the
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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, reliability, and respect. About the department Arctic Geophysics The department constitutes 5 professors, 3 associate professors, 3 researchers, 4 PhD students, 5 adjunct professors and 2 technicians
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information from multiple data sources to characterize forest attributes that are difficult or impossible to observe reliably from any single source alone The main tasks include: Developing multimodal deep