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team and participate in our vibrant research community here at CSIT. Project Title: Fault-tolerant Wireless Time Sensitive Networks This project builds on our ongoing work on modelling and simulating
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health promotion interventions to support health, wellbeing, and/or positive ageing (i.e., exercise instruction, nutrition, behaviour change, motor development, motor control, motor learning, motivational
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the project entitled Modelling and measuring agricultural management on peat soils to enhance removals and sequestration of carbon (MAPSERS-C) that is funded by the Department of Agriculture Food and the Marine
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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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partners, as per research programme requirements. Acquire generic and transferable skills (including project management, business skills and postgraduate mentoring/supervision), subject to availability
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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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population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation coastal zones (LECZ) in Ireland. In so doing, insight will be
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. The successful candidate will work on JWST observations of the supernova SN 1987A, with a particular focus on dust modelling. The group actively collaborates with researchers in Europe and the United States and
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. Niamh Cahill. The core concept of this project will be to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context
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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