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related disciplines. Applicants with track records or experience in system modelling, machine learning and control are highly desirable. How to apply Applications should be submitted via the Chemical and
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experiments and randomised controlled trials, including the use of stable isotope approaches to measure muscle loss and the underpinning mechanisms, to investigate why GLP-1 drugs cause excessive muscle loss
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variable acoustics room enabling reverberation times as well as room volume to be precisely controlled. The PhD studentship will support AURORA³’s early research activities, including e.g. validation
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submission of progress reports; outstanding publication record etc.). High level of motivation and commitment to succesfully complete your doctoral studies within the anticipated time frame. Excellent command
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, control, and manufacturing problems in real-world applications. We are seeking talented candidates with: •First or upper second-class degree in mechanical, mechatronics, robotics, cybernetics or related
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and deterministic AI outputs is critical. This requires robust design principles and architectural changes to reduce variability and integrate smoothly with industrial control systems. Enhancing
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from the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing
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Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing platforms at both locations
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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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. This project will build upon our research and industrial successes, focusing on developing control solutions for automated robotic systems that can be teleoperated using intuitive human-machine interfaces