130 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " uni jobs at Ulster University
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary CNC machining delivers high precision but is costly, rigid, and limited in adaptability. Robotic
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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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attention and comprehension in beginning readers. NPJ science of learning, 5(1), 1-10. Givan, P. (2025). Written Ministerial Statement to the Assembly Early Learning and Childcare measures 2025-26. https
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Protection: 8th International Conference, EuroMed 2020, Virtual Event, November 2–5, 2020, Revised Selected Papers Virtual Heritage Learning Environments Pages 427–437. https://doi.org/10.1007/978-3-030-73043
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manufacturing sectors. Applicants should have a good background in mechanical, energy, or related engineering disciplines, with knowledge of thermal-fluid sciences, and be familiar with or willing to learn
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-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi
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. The successful candidate will join the Intelligent Systems Research Centre (ISRC) at Ulster University’s Magee campus, working with experienced researchers in machine learning and cognitive analytics
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/02615479.2024.2445063 NISCC (2020) Mainstreaming Community Development in Social Work Presentations, Lunchtime Seminars. Available from: https://learningzone.niscc.info/learning-resources/mainstreaming-community
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autism spectrum disorder. Disability and Rehabilitation: Assistive Technology, 13(4), 353-365. Communication Matters, 2023 https://www.communicationmatters.org.uk/ (including Communication Matters Journal
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) Deep Learning AI. https://www.deeplearning.ai/ (opens in new window) CourseRA Gen AI https://www.coursera.org/ (opens in new window) McKinney, S.M. et al., “International evaluation of an AI system