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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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that can be designed and optimised for both passive and active photonic components, allowing for the full suite of device functionality to be incorporated via simple and low-cost processes on a single
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ageing processes, high voltage electrical testing, analytical and simulation techniques. Please provide your CV to support your application for this post. You will report to the sponsor at regular meetings