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development and maintenance of Drosophila fly lines, electromyography of fly muscles, calcium imaging and whole-cell patch clamp recordings of Drosophila leg motor neurons and interneurons in behaving flies, as
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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opportunities for embedding storage at multiple points within the HVDC architecture—on the AC side, DC side, or directly within converter submodules. The research will tackle several key technical, economic, and
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monitoring. While ML-driven industrial condition monitoring offers significant advantages in predictive and preventive maintenance, current research often relies on simplified, laboratory-based data. This PhD
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to demonstrate a keen interest in aspects of logistics and its role in the modern world. This studentship will cover University fees for applicant with 'home' fee status and a maintenance allowance of at least
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to demonstrate a keen interest in aspects of logistics and its role in the modern world. This studentship will cover University fees for applicant with 'home' fee status and a maintenance allowance of at least
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well-grounded and at the same time
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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convert relevant measurement data into actionable information, such as the health condition, and/or the remaining useful life of critical assets. Currently, Artificial Intelligence (AI) based big data