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part of the NWO-M 2024 research project “Real Fake: How Highly Immersive Disinformation Affects What People Believe”. The project investigates how people respond to immersive disinformation: highly
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. Eligible applicants have not worked as an assistant at a university in Belgium for more than 365 days in total prior to the starting date of the doctoral fellowship. Selection process Applicants should fill
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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systems, and simulation-driven design, areas that contribute to scientific progress and societal resilience. As part of a university ranked number one in Ireland for Research Quality and among the top 350
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scenarios. Duties Your work will focus on modeling and optimizing hydrogen compression, storage, and fueling processes at the system level. This includes, among other tasks: Thermodynamic simulations of CGH
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and Space Weather. The successful candidate will contribute to the development, testing, and operation of solar monitoring stations, real-time data pipelines, and AI-based analysis tools. The position
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the complex electronic and ionic processes in battery materials. New quantum algorithms will be tested for addressing topical questions in materials development for next-generation batteries. In this project
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challenges like AI, fake news, echo chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media. The centre performs research
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro at Hydrumedical using in house-developed flow
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simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour