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theoretical and computational analyses of transport and exchange processes using high performance computing, to guide optimisation of cDTI measurements. Research Associate: Hold a PhD in applied computational
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, editing intents, and real-world conditions. The project will leverage advances in deep learning, multimodal representation learning, reinforcement learning, and image/video processing to develop novel
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distribution, compliance, and dynamic airway collapse Coupling airflow simulations to alveolar gas transport, diffusion, and blood-gas barrier transfer processes Integrating imaging-derived features with
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responsibilities will involve day-to-day running of the project, including fabrication of electrochemical lateral flow assay platforms for folic acid, characterisation of the diagnostics prototype and validation
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into mechanistic network models for use in a multi-scale COPD model Working closely with imaging and airflow modelling colleagues to combine molecular and anatomical simulation frameworks Delivering open-source
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while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and
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to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts *Candidates who have not yet been officially awarded their PhD will