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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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reduce unsustainable costs?’ The research will include: Evaluating the initiatives already in place and being developed Reviewing how other places have solved similar issues Feeding back the above findings
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communications hinders traditional deep packet inspection for malware detection. This research aims to develop lightweight, behaviour-based anomaly detection systems. These systems will identify malicious activity
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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of our approach is the innovation of novel methods to investigate genome function. For example, we have recently developed ways to map the binding of nucleic acid-interacting drugs and small molecules
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it is possible to tune the FTU by changing the nozzle size, it may not be practical or economically feasible to expect manufacturers to develop nozzles of various sizes to enable facile dosing
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therapy (Simpson et al. in preparation*). When these local metabolic / immunologic changes happen during pancreatic cancer evolution remains unknown. More importantly, whether these spatial changes can be
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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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you will be providing key input into intervention development, and ultimately a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will be
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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation