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Field
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire,...
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satellite communication systems. The aim of the PhD is to investigate, design and fabricate multi-port glass-based components (e.g. isolators, circulators, and loads) for >60 GHz duplexer applications
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-the-counter (OTC) medicines as a source of syndromic surveillance for diseases in the community. N/LAB is a centre of excellence, developing and applying innovative research in Artificial Intelligence (AI) and
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Evaluating the use of longitudinal over-the-counter healthcare sales data as a source of syndromic surveillance for community-based infections UK Health Security Agency and Nottingham University
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The cardiac action potential is modulated by the autonomic nervous system (ANS). Recent studies have shown an association between cardiac disease and Parkinson’s disease (PD) where the degeneration of the ANS is prominent. Importantly, while PD patients develop motor dysfunction at the later...
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Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar
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intervention (SleepBoost) alongside a community language intervention (Chatterbox) to boost language outcomes in 2-3 year old children at risk of language difficulties. This study is led by Dr Vic Knowland with
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highly motivated Research Assistant/Associate to join a Nuffield Foundation funded study to investigate the feasibility of delivering a preschool sleep intervention (SleepBoost) alongside a community
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(AI)-driven speech and voice analysis present transformative opportunities to enhance emergency call triaging. For instance, identifying specific audio features, such as laboured breathing or vocal
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. To meet the demands for accuracy and robustness from emerging applications such as urban air mobility and defence, the navigation community is moving toward cognitive, multi-domain solutions that can