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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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• Demonstrated specialist knowledge in power systems operation and control, shown through experience applying advanced modelling and optimisation techniques. This may be evidenced by a strong research project
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combine insights across areas such as MRE Technologies, Materials & Structures, Observations & Operations, Coastal & Marine Systems, Bioenergy, Energy Policy & Modelling and Renewable Energy Management
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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
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, Materials & Structures, Observations & Operations, Coastal & Marine Systems, Bioenergy, Energy Policy & Modelling and Renewable Energy Management. Lir NOTF houses Ireland’s only infrastructure for small
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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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production. • Direct experience and a strong understanding of structural analysis techniques. • Experience with validation of biological test compounds in relevant models
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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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interdisciplinary study that will assess the pre-/and post-radon concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model
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concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model (CONTAM), which will be parameterised based on representative