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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Self-funded PhD opportunity in 6G as part of major project hub, further funding possible subject to progress of project and student. Focus on native AI in 6G systems with experimental testbed and
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Control Research Institute at Faculty of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited
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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
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Salary: Research Assistant: £32,546 to £34,132 per annum Research Associate: £35,116 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday
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(3.5 years). Project Description Background and context: Optogenetics is a powerful and controlled neuromodulation technique, which mostly used to study the brain by using neural implant containing light
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of disease dynamics that will be used to assess the potential impact of novel treatments on controlling the transmission of emerging respiratory infections in highly heterogeneous populations. As part of
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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we study, work, and think. Models such as ChatGPT have the potential to free individuals from the intricate and labour-intensive processes involved in writing and coding. Developing system software
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. Cranfield 737-400: Aircraft Instrumentation and Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and