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strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
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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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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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. • Exploring strategies of flow control to enhance heat transfer efficiency. The successful candidate will collaborate closely with a multidisciplinary team at SLB Cambridge Research (SCR), part of SLB’s global
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“Assessing and controlling seizure-modulating fluctuations (ACORN)”, we are excited to recruit a motivated individual with research experience in a relevant subject area to work with us on this exciting
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-looking weather and climate data Experience with Git version control, particularly with Github Experience of collaborating with other academic instututions and industrial partners and stakeholders