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for advanced energy storage applications. This position is part of a multidisciplinary program focused on the design, synthesis, processing, and characterization of organic-inorganic hybrid materials capable
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droplet impact performance in the laboratory. - Implement droplet size dependent and impact velocity dependent cumulative damage models in a digital twin based on meteorological data for site
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website (WordPress or equivalent CMS) - Develop and distribute newsletters, email campaigns, and targeted communications - Design promotional materials (flyers, graphics, digital assets) using Canva
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digital datasets, artificial intelligence and statistical methods to quantify urban environmental metrics (e.g. emissions, air pollution and greenspace) and urban dynamics in unprecedented accuracy and
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complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also
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systems. The position will focus on the integration of artificial intelligence (AI) and emerging technologies across the full lifecycle of structures—from design and construction to monitoring, maintenance
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Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions. Scientific Impact: Lead the authoring
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composite dielectrics for advanced energy storage applications. This position is part of a multidisciplinary program focused on the design, synthesis, processing, and characterization of organic–inorganic
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, and ethics for sustainable digital health. This project, funded by Research Ireland, aims to develop, deploy, and evaluate a comprehensive AI governance framework for healthcare organisations during a