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employees to advance science for society. Join us in breaking new ground and writing success stories –your own and those of our university. Support us as of now in part-time position (65 %) as a Doctoral
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educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be
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be placed on personal suitability, scientific reasoning, and the ability to write and understand scientific text. Basis of assessment The evaluation of the ability and potential to perform well is
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
intelligent reasoning and feedback mechanisms into digital twin environments, enabling them to interpret complex maintenance data more effectively. Using AI techniques, such as large language models, knowledge
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potential English knowledge Other relevant items based on the specific candidate The application deadline is 31st October 2025 23:59 CET. All applications will be analysed after the application deadline, and
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, leadership, and creativity potential English knowledge Other relevant items based on the specific candidate The application deadline is 31st October 2025 23:59 CET. All applications will be analysed after
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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degree of independence and commitment Very reliable and conscientious style of working Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground