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simulation, composites manufacturing and advanced sensing techniques. The project will provide opportunities to develop skills in these areas and contribute to the development of the next generation composite
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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Recent advances in artificial intelligence (AI) have fuelled the idea of building “AI scientists”, i.e., systems that can perform part or all of the research process on their own. The development
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undertaking study in: Accounting and Finance Anthropology, Media and Performance Arab World Studies Architecture Business and Management Chinese Studies Criminology Development Policy and Management Digital
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The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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integrates design, technology and management expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research
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and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University (Perth, Western Australia). The objective of this project is to develop and test new methods
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Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD researcher to join a multidisciplinary project developing environmentally friendly
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Institute for Industrial Mathematics ITWM, we see our task as further developing key technologies, providing innovative impetus and implementing these in practice together with industry partners. In doing so