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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent
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responsibilities: To carry out and complete your own research towards a doctoral degree. Design, run, and analyse equilibrium simulations with a coupled Earth-system model of intermediate complexity to investigate
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, surgery planning with patient data for surgeons, real-time remote guidance for maintenance in industrial plants, and iterative design simulation for architecture and engineering. However, its wide adoption
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proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section. About the scholarship This project investigates how 21st-century media changes
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presented in one of Canada’s two official languages (English or French), a certified translation must be provided, in addition to the transcripts in its original language. Include one copy of marking key
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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the work duties. Attached to application should be: 1) curriculum vitae, 2) copies of degrees and transcripts of academic records, 3) link to, or copy of master thesis, and 4) two listed references with
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, patient travel times, regional variations, and treatment patterns. Simulation Modelling: The candidate will develop and apply simulation models to evaluate the effects of centralizing care on measures
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(immersive reality, planning and simulation models) for joint planning assessment · support demonstrators of the developed prototypes in the project You will be part of a team comprising three PhD
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance