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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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approaches to non-invasively localise ventricular arrhythmias, collectively characterised by the integration of patient imaging and electrical data, with state-of-the-art in-silico modelling and AI-algorithms
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approaches for eye disease and in particular for disorders affecting the retina, including inherited retinal degeneration (https://www.kcl.ac.uk/research/ocular-cell-and-gene-therapy-group). We are currently
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: https://www.kcl.ac.uk/bmeis/our-departments/digital-twins-for-healthcare https://www.kcl.ac.uk/research/dt4health-cdt About The Role We are seeking a highly motivated postdoctoral researcher to lead the
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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including grade 7. Visit the [Centre for Research Staff Development](https: //www.kcl.ac.uk/research/research-environment/professional-development/centre-for-research-staff-development) for more