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, biochemistry, bioinformatics. The candiate must have a strong foundation in bioinformatics and use of -omics tools. Familiarity with whole genome, exome and transcriptome sequencing workflows is advantageous
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optimisation/high-value products Project start date: 01 October 2025 Supervisors: Dr Steve Slocombe and Dr Miguel Lurgi Aligned programme of study: PhD in Bioscience
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modelling framework multiple ML tasks as mentioned above, to ease the development burden from users. It will research unified and modular modelling strategies, capable of optimally fusing and aligning diverse
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limitations in nanoscale layered materials characterisation. This interdisciplinary approach will allow you to probe both local atomic environments and long-range structural features, such as stacking sequences
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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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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
unstructured maintenance records using LLMs, ontologies, and knowledge graphs. Build a standards-aligned semantic framework for interoperability and scalability. Model degradation over time using temporal
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(Agarwal et al., Quant. Sci. Technol. 2024), so that for any verification approach to be useful it needs to go beyond widely employed Markovianity assumptions. This work, directly aligning with NQTP Missions
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causal component of Alzheimer’s Disease (AD). Brain immune response is associated with the accumulation of both tau and amyloid proteins and is implicated in neuropathogenesis and multiple chronic
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the project is intended to inform the future design, delivery and evaluation of the Council’s Mental Wellbeing Transformation work aligned to its Progress in Unity Mission. The project will be led by Professor
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recovery. Through real-world testing and industry-aligned development cycles, students gain practical experience in resilience modelling, embedded AI diagnostics, and autonomous recovery protocols