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of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as
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fully funded, three-year PhD studentship starting in October 2025, focused on one of the following research objectives: To develop biomimetic designs that enhance energy harvesting and bioelectronic
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the drivetrain. Alternative machine topologies such as axial flux, transverse flux, and homopolar designs offer unique advantages by enabling 3D flux paths, novel cooling strategies, and increased architectural
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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, which can ultimately limit their justifiable performance, also advancing the design of both fusion and fission reactor components, and thereby contributing to increase their power density and decrease
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should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and scientific computation. The student will gain invaluable experience
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functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
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become successful if patients are placed in the heart of technology usage, which is designed with patients’ perspective in mind. Proposed project This project would investigate commonly observed deviations