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and digital mental health assessment data to generate new digital tools To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff
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for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of digital healthcare, healthcare management, information systems, or other related areas; Excellent oral and
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successful candidate will contribute to the EU projects (with funding support from Innovate UK and UKRI), which aim to develop wireless communication optimisation algorithms for digital healthcare applications
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, product design, digital media, computer science and informatics. Our distinctive characteristics are: creativity, interdisciplinarity, strong links with industries, and an international outlook in both
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the University’s mission to translate research into real-world impact. The Cyber, Engineering and Digital Technologies KERI brings together over 60 academics alongside industry partners, policymakers, and
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innovative circuit architectures for research projects and performing transistor-level design, simulation, and layout of analog, digital blocks and mixed-signal using industry-standard EDA tools. • Drive
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students and/or early career researchers experience with data science approaches to analyse clinical and digital mental health assessment data to generate new digital tools To keep our community safe, please
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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the broader innovation network. Fellows benefit from a unique environment that combines academic excellence, industry collaboration, advanced digital infrastructure, and entrepreneurial opportunities. Beyond
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generation of expressive digital musical instruments. You will design, develop, and evaluate algorithms for detecting tactile interactions with objects and mechanisms using high-fidelity hand-worn motion