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enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess
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for investigating failure mechanisms in CFRP sleeves. Your contribution will help prevent catastrophic magnet detachment and significantly enhance system reliability and safety, aligning with the UK’s NetZero targets
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progression subtypes with the intention of identifying potential biomarkers and therapeutic targets. It will involve the study of large patient cohorts utilising phenotypes of dementia, proteomics and multi
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. The subsequent data will then be used to populate machine learning models to predict which molecules to synthesise next, to maximise the binding affinity of the molecules to a target protein. This research aims
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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of cystic kidney diseases. In this PhD, you will use a multi-omics framework to illuminate disease mechanisms, reveal novel biomarkers, and identify therapeutic targets with the potential to transform
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achievement of net-zero greenhouse gas emissions targets. Because of this, peatland restoration is a conservation priority in the UK and internationally. However, as ecosystems dependent on the maintenance
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rhabdomyosarcoma), fragmented data from multiple small series has hampered global elementary understanding of metastasis biology and - therefore – targeted therapy development. It remains unresolved – and is
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to slow transfer times. Magdrive are developing the high-thrust SuperMagdrive propulsion system targeting 1N or higher thrust equivalent to the smallest chemical propulsion systems. Magdrive technology