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experimental mechanics, classical materials testing also benefits from a range of well-established methods. However, biomedical applications lack such a wealth of standardized protocols to address the diverse
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title: Research Assistant (PhD position) - 16529 College/Department: College of Engineering, Design and Physical Sciences
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of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title: Research Assistant (PhD position) - 16530 College/Department: College of Engineering, Design and Physical Sciences
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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. To apply, click the 'Apply' button, above, and select “PhD in Mechanical Engineering – Materials and Manufacturing” before uploading your documents. For informal enquiries, please contact Dr Jun Jiang
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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manufacture of demonstrator structures Overall, the PhD student will have the ability to develop advanced skills at the intersection of structural mechanics, manufacturing process dynamics, and uncertainty
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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Location: UK Other Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives