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journal publications. The post is based in the Signal Processing, Audio and Hearing (SPAH) Group within the Institute of Sound and Vibration Research (ISVR) in the Faculty of Engineering and Physical
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understanding the molecular basis of brain signalling and neurological disorders. Previous experience in tissue culture and proteomics including data collection, processing and interpretation is essential
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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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Flexible batteries with seamless integration in textiles will revolutionize the healthcare system. Such batteries could power sensors to continuously monitor vital signals (e.g. glucose) and
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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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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable
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) and the School of Chemistry (Prof Andrew Hector and Prof Nuria Garcia-Araez). Your role will involve glass manufacture, characterisation and development of the fusion draw process. You will work closely
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, characterisation and development of the fusion draw process. You will work closely with research fellow (Dr Ajay Saroja) and an experienced glass technician (Chris Craig). The project will also benefit from
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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