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and reliability of offshore wind turbines through advanced digital twin and machine learning technologies. This project will investigate existing digital twin and machine learning models and find
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learning techniques for monitoring the health of the main bearing in wind turbines. This innovative research aims to enhance the operation of next-generation offshore wind turbines through the development
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welcome you to apply for a PhD position in Meteorology focusing on loads on wind turbines in complex terrain at Uppsala University Campus Gotland. The Department of Earth Sciences at Uppsala University is
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PhD Position Effect of Defects in Wind Turbine Blade Manufacturing PhD Position Effect of Defects in Wind Turbine Blade Manufacturing Published Deadline Location today 12 May Delft PhD Effect
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the spar cap/shear web assembly—the backbone of wind turbine blades. Your work will address the inherent challenges posed by defects such as fiber misalignment, porosities, and uneven cure, which jeopardize
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Your Job: In a project with a leading German aircraft turbine manufacturer, the Institute of Energy and Climate Research - Materials Microstructure and Properties (IEK-2), investigates deposit
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Infrastructure? No Offer Description Work group: IEK-2 - Werkstoffstruktur und Eigenschaften Area of research: Promotion Job description: Your Job: In a project with a leading German aircraft turbine manufacturer
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Supervisor: Prof. Ali Mehmanparast Project Description: Originally, the inside surface of offshore wind turbine structures was designed to be dry, and so ‘in air’ fatigue crack growth rate (FCGR
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delivering optical temperature measurements that are applicable to aerospace gas turbines. Successful temperature measurement would provide vital information about the state of the reaction zone to support
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Job related to staff position within a Research Infrastructure? No Offer Description Do you want to be a part of the energy transition towards greener energy? Are you interested in wind turbine