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for the University Funding Competitions, but, in the event of an unsuccessful funding application, Dr. Seaborn may have the ability to award the successful candidate with a Home Fee Studentship. Note that a successful
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. Highly motivated student. Ability to work independently and as part of a team. How to apply Interested applicants should contact Principal Investigator Dr Rehan Junejo (R.Junejo@mmu.ac.uk
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Ability to work in a compassionate and socially responsible manner Apply Before: 22/09/2025, 23:59
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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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problem-solving skills. Proven ability to work independently and collaboratively in a multidisciplinary environment. Excellent communication skills, engaging with both technical and non-technical
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innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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of eligible participants, clinical trials in rare diseases often cannot achieve the standard 80% or 90% power requirements, alongside a 5% type I error rate, in the final analysis. There is widespread
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of the grade as required by the programme PIs The Person Knowledge, Skills and Experience Ability to work well as part of a team and rapidly acquire new skills Detailed subject knowledge relevant to cancer
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Centre, Met Office, Newcastle City Council and Northern Powergrid. Your core responsibilities will also involve contributing to the broader research activities on power and energy systems within