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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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exploiting the structure of inputs and doing a multivariate complexity analysis. The goal of this project is to develop more efficient parameterized approximation algorithms and preprocessing algorithms (also
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are crucial, such as legal analysis, scientific discovery, and industrial planning tasks. Daniel Kahneman's concept of Thinking, Fast and Slow distinguishes between two modes of cognitive functioning: System 1
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become increasingly prominent in space applications, offering substantial benefits with high strength/stiffness and lower density/weight compared to metallic structures. Their use space vehicles span
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering. Offering fully funded
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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The Project: Are you passionate about materials science, numerical modelling and materials characterisation techniques? Do you want to work on cutting-edge research that will directly impact nuclear
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Salary: Research Assistant: £33,002 - £34,610 per annum Research Associate: £35,608 - £46,049 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering fully funded, multidisciplinary PhD