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demonstration of a DNA-based stack data structure and recent advances in optimisation for DNA nanotechnology, the project will design, model, implement, and experimentally validate novel molecular data structures
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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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. Enforcing these is hard when the data, the model, and the rules belong to different parties, none of whom can hand over what they hold. Privacy-preserving AI protects data and models but not rules, while
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intensification, dynamic operation, and resource recovery. The project combines modelling, pilot-scale experimentation, and techno-economic assessment to establish MECs as viable unit operations within next
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, machine learning and Quantitative Microbial Risk Assessment Microsimulation modelling, generating evidence directly relevant to national food safety policy. You will join a PhD student cohort with NIHR
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will gain: Data analysis, modelling, and technoeconomic assessment skills Professional development in communication, leadership, and industrial collaboration Access to a strong network of industrial
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and detailed energy map of our processes, identifying opportunities for potential energy recovery and inefficiencies Modelling and optimisation of suitable energy recovery strategies Research