6 modelling-complexity-geocomputation PhD positions at Manchester Metropolitan University
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-Physical Systems research theme, focused on improving quality of life through cutting-edge technology. The research aims to design context-aware multimodal AI methods to understand and model human behaviours
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alterations that relate to CHI and principally evaluate their fit as biomarkers for CHI diagnostics. This project will provide training in gene editing, iPSC technologies, and complex cell models with a focus
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analysis, threat modelling, and proof-of-concept demonstrations, the research will identify and map vulnerabilities that may impact both individual investors and global financial stability, as
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parameters (build orientation, resin choice, post-processing) and aerodynamic performance in wind tunnel tests. Develop an integrated performance model linking process data, 3D metrology, and wind tunnel
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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quantitative species detection for in-field use. This innovative approach will miniaturise complex molecular workflows, enabling field-based, real-time species monitoring without the requirement for laboratory