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conducts cutting edge research into enabling technologies for future aircraft applications. Vision We are seeking PhD student that is motivated to conduct research in electrical power system stability
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conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
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to the commencement of the PhD. Vision We are seeking for a highly motivated PhD student to conduct cutting edge research of the AI techniques that will power future flexible manufacturing systems. Together, we will
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Application deadline: All year round Research theme: Robotics, Smart Manufacturing How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is funded by the Department
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) Computer Science and Digital Technology (2 positions) and Architecture and Planning (1 position). Training and Development Opportunities The Scholarships provide an opportunity to work with leading researchers and
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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, intake design, and computational methods. The research will directly support the Net Zero ambitions and contribute to the UK’s strategy of global competitiveness in aero-engine technologies. It will also
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The