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Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
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Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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Dynamics (CFD). This is an exciting opportunity to contribute to cutting-edge research that supports the next generation of sustainable aeroengines. The successful candidate will join a supportive team of
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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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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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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skills, with a well-rounded academic background. Demonstrated ability to develop precision mechatronics/robotics systems and algorithm Ability to develop kinematic and/or dynamic analysis of mechanical
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. At the Rolls-Royce UTC, we have developed advanced robotic systems capable of navigating cramped and hazardous environments, performing inspection tasks, and carrying out active operations such as machining
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience