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supported research project that is time-limited and scheduled to conclude in April/May 2026. The fixed-term nature of the role reflects the specific funding period and project timeline. The post-holder will
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schedule of questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing
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spread over five months (October 2025-February 2026). The duties will include: Observing a series of training sessions, in-person at University of Nottingham. Assisting with the design of a schedule of
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stoppages. However, in most of the industries, OEM specifications are used to maintain the equipment’s/machineries which are often based on schedules and preventive strategies. It has been observed
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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engaging schedule of internal and external seminars. You will also have the opportunity to be part of the Scottish Graduate Programme in Economics (SGPE)—a collaborative network of eight leading Scottish
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/3c52o8bnrCuLpzLq7 via the above ‘Apply’ button. Closing Date: 21st May 2025 Interviews are scheduled for 28th of May.
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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will be scheduled for week commencing on 23.06.2025. This is a 3-year studentship, funded by Dr Russo’s NIHR project, and comes with an annual tax-free stipend of £19,688. Student tuition fees will be
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To improve the availability and reduce the overhaul and maintenance (O&M) costs of gas turbine propulsion systems, the gas turbine industry is moving from scheduled maintenance to condition-based