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biomarkers – including voice biomarkers – to support the early detection and remote monitoring of psychological well-being in people with diabetes. This project builds upon the large international Colive Voice
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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel
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existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged. The successful candidate will be affiliated with the Institute
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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consequences of economic insecurity (EI) for individual's lives and society at large, and the understanding of the role that public policies play in mitigating or amplifying the size of these impacts - this is