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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems
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phenotyping, transcriptomics, proteomics and modelling to identify and functionally characterise perennial ryegrass and white clover molecular regulators mediating growth responses in a future climate. The
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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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receives numerous cooperatively shared sensor readings derived out of neighbouring vehicles/infrastructure, and these readings exhibit diverse and perhaps lower confidence levels, the proposed model will
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that enhance women's access to agronomic advice, soil testing, and market linkages. EMPOWER-ME is jointly led by University College Dublin UCD, the International Institute for Tropical Agriculture IITA-Malawi
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modelling framework aimed at supporting the decarbonisation of the Irish electrical grid, with a specific focus on the industrial sector. This role involves the integration of high-resolution data
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transformative initiative aimed at addressing skill gaps in the EU’s building and construction sectors to accelerate the Clean Energy Transition. This role offers a unique opportunity to drive research, innovation
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and Research Ireland. Urban Sense is modelling and measuring greenhouse gas (GHG) emissions across Dublin. The focus of this position is developing an agent-based model (ABM) to capture the statistical
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-economic analysis complexity and functionality of the tool in co-operation with the ORE Group techno-economic model development group. Project Title: MaREI Post Duration: 12 Months Salary: €53,770 - €58,479