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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This collaborative project between Jaguar Land Rover (JLR
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of this project, please contact Prof. Tony McNally (T.McNally@warwick.ac.uk ) directly for further information. Essential and Desirable Criteria: 1 or 2.1 degree in Materials Science & Engineering, Chemical
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training in materials engineering, corrosion, and materials selection. You will become a specialist in the field of corrosion and hydrogen, opening up prospect for top-class employment & cutting edge job
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research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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The transition from the traditional relative perspective in engineering design and product development (“Is design A better than design B?”) towards an absolute sustainability perspective (“Is the
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project. Experience of working with or in schools. Experience using tracking software and planners (e.g., MS Excel, Notion) or other participant database management. Ability to communicate confidential
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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. The successful candidate will be based in the Mechanical and Aerospace Systems research group (previously known as G2TRC) within the faculty of Engineering and will be part of a supportive team of 50 researchers
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not