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advanced experimental and modelling methods to better understand the behaviour of industrial lubricants under extreme operating conditions. Lubricants in gears, bearings and other mechanical systems can be
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, including offshore wind, battery storage, HVDC systems and other converter-connected technologies. As a result, electromagnetic-transient (EMT) phenomena increasingly influence system stability and operation
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biological routes for producing more sustainable materials. However, current approaches often use enzymes or microorganisms as passive additives rather than as programmable components. The E.CoLith project
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researchers with cutting-edge expertise in combustion science, chemical kinetics, fluid dynamics, and digital modeling, preparing them to revolutionize industrial energy systems and accelerate Europe’s energy
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
the preparation of a doctorate, contains: Research: The FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department
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PROJECT DESCRIPTION Research aims at developing a wind-farm control emulator by coupling large-eddy simulations and aeroelastic turbine models with meso-scale weather models to run realistic wind-farm
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, the demand for advanced optical vision systems has grown significantly. Current state-of-the-art vision systems face three main technological barriers: operation within a limited spectral range, with a limited
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wind–wave flume. Measurements obtained from these controlled experiments will be used to validate and refine the numerical models. The validated models will then be used to identify critical wave
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BAP-2026-449 Is the Job related to staff position within a Research Infrastructure? No Offer Description In industry, language models are currently being widely experimented with to build, among other
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout