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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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of extremes, examine causal chains linking meteorological and hydrological extremes and their impacts, and develop novel storyline based methods to enhance knowledge and communication for adapting to compound
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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
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of the leading global centres in gut microbiota research. APC Microbiome Ireland has made several landmark discoveries and has published over 3500 research articles in peer-reviewed journals, generating many
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Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any applications which are still in
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to enhance knowledge and communication for adapting to compound extreme events that have cascading impacts across sectors in Ireland. A key strength of the proposal is its integration across meteorology and
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impacts, and develop novel storyline based methods to enhance knowledge and communication for adapting to compound extreme events that have cascading impacts across sectors in Ireland. A key strength of the
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=eWFzZW1pbi5vemRlbWlyLjU0ODIyLjk5MDhAdW5pY2R1Ymxp… Requirements Research FieldAgricultural sciencesEducation LevelPhD or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Bioactive compound extraction, and
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of Computer Science and Information Technology, to work on Insight Platform research in the area of LLMs and constraints – verifiable, reliable generative AI. In addition, the researcher may contribute to various other