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in Computer Science / Artificial Intelligence or related discipline. Experience of working with sensors. Strong interest in carrying out innovative research in a health context. The successful
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engineering/electronics engineering, or a related field will be advantageous, along with knowledge of the following: *low-power circuits/system design for ASIC, *Verilog based FPGA based system design
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with a background in computing or data science who wish to connect technical innovation with human-centred system design. The project supports Northern Ireland’s priorities in Software/Cyber and Life
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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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experts, building a powerful, dual-skill profile. Completing this project will establish you as a leading expert in industrial AI and computer vision, highly sought after in the growing Smart Manufacturing
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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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Satellite and earth observation together with RE technology implementation and advanced artificial intelligence to quantify the effect of REs in the terrestrial carbon cycle. Essential criteria Applicants
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International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 1360-1368, doi: 10.1109/QCE57702.2023.00154. Place, A. P. M., Rodgers, L. V. H., Mundada, P. et al. (2021). New
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. The proposed PhD is a partnership with Age NI. Age NI have led two important online programmes recently. The Good Vibrations programme was a men’s health programme aimed specifically at men aged 50 and over. It
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading