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our mission we use a variety of research strategies that include big data and machine learning, brain imaging and neural interfacing, human-computer interaction and robotics. Bioinspired artificial
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and intervention strategies. The researcher will use advanced statistical and machine learning techniques to identify patterns, trends, and causal relationships in the data. The researcher will also
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health (Schwalbe & Wahl, 2020). Using machine learning (MI) algorithms, it can analyse large volumes of complex data to find patterns and make predictions, often exceeding the accuracy and efficiency
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solutions. This will decarbonise linear infrastructure and achive national Net Zero ambition. The project will use the NI-HPC super computer to develop an AI based digital twin to better understand the tyre
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Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study', JMIR Medical Informatics, vol. 8, no. 9, e20995, pp. 1-23. https://doi.org/10.2196/20995 Johnston, V, Black, M
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for variational quantum circuit based functional regression. [5] M. Schuld et al., The effect of data encoding on the expressive power of variational quantum machine learning models. [6] A. Zeguendry et al
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These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG
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research in Human-Machine Teams and Neurotechnology to boost productivity in both public and commercial sectors. The PhD candidate will benefit from the research centre’s expertise in Computational
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Kevin Mitchell at Trinity College Dublin. The student will acquire skills in: deep neural networks scientific computer programming analysis of neuroscience and clinical data computational modelling
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years, machine learning (ML) methods are found to be effective in wireless communication, particularly for channel estimation in RIS integrated NOMA communication system. However, still required further