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: Delivering Sustainable Futures for All, the DfE sectoral plans for achieving low carbon/net zero (Skills and Workforce Development) and the Programme for Government 2024-2027 – Grow a Globally Competitive and
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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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on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award. *Part time PhD
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Apply and key information This project is funded by: North South Research Programme (NSRP), funded through the Shared Island Fund Summary Applications are invited by Ulster University for a PhD in
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Summary Hydrogen is a cornerstone of transition to net zero future. It is clean alternative to fossil fuels across all sectors. Safety is the main concern for deployment of hydrogen systems and
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, Vol. 12, No. 5, 2021 Hechler, E., Oberhofer, M. and Schaeck, T. (2020), Deploying AI in the Enterprise, Apress Berkeley, CA, https://doi.org/10.1007/978-1-4842-6206-1 Programme for Government 2024–2027
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classification of Aluminium 5083 TIG welding using HDR camera and neural networks. J. Manuf. Process. 45:603–613. https://doi.org/10.1016/j.jmapro.2019.07.020 Wang R, Wang H, He Z, et al (2024) WeldNet: a
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Summary This is a Collaborative project with the Northern Ireland Anti Poverty Network (NIAPN). NIAPN will actively support the PhD researcher by helping to identify networks to engage and recruit
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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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Greener. [Online] Available at: https://www.gov.uk/government/publications/net-zero-strategy Raghad, S. K., Alan, S. F. & Peter, R. D., 2015. Solar systems and their integration with heat pumps: A review