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Generators, and hardware-accelerated primitives, the project establishes a dual-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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“Multiscale modelling of soil-structure interaction for renewable energy applications”. An improved understanding of soil-structure interface behaviour can lead to significant cost savings for offshore wind
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domains: Computer Vision for Industrial Environments Generative AI and Foundation Models in Advanced Manufacturing Agentic AI for Intelligent Decisions AI for Cybersecurity Selected candidates will lead
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. Strong background in fermentation models that mimic the gut environment and analysis of associated metabolites. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers
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-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives and energy-efficient protocols, this project ensures quantum resilience while
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Ireland and China, and supporting staff in Ireland and China in the delivery of their academic programmes. The successful candidate will act as a role model for leadership and continue the success
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project “Ground Rigid Install Pile Anchor – GRIP Anchor”. The project is being led by Gavin and Doherty Geosolutions (GDG) with the aim of undertaking laboratory testing and numerical modelling of a novel
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Cancer Research @ UCC team and wider finance community. Reporting lines are subject to future change in line with any financial operating model changes. Project Title: Cancer Research @ UCC/ Cancer Trials
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Emergency Coordinators, Incident Commanders, Responders and Observers in a timely fashion. Geo-AI can be classified as an emerging field which attempts to capture, process and model real-world environments