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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
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climate regeneration and Nature-based Solutions in deprived areas through the development of innovative co-analysis, co-design, and co-monitoring tools and methodologies for engaging with the community
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, presenting both opportunities and challenges. Currently, these software architectures do not take advantage of emerging Geospatial-AI (Geo-AI) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial
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proficiency and appetite for energy transition analysis and policy-relevant, multi-disciplinary research. Direct experience with energy systems models is required, and candidates experienced in energy systems
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analysis, SHIELD identifies and tackles these challenges, helping Ireland address external energy security risks. This multidisciplinary project addresses the complexities of the energy transition by
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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on
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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
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includes analysing the economic feasibility of the proposed processes (WP1-5) using the Techno-Economic Assessment (TEA). Outcomes will be assessed through a sensitivity analysis as well as a risk analysis
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approval, survey dissemination, analysis of findings and drafting of working papers and other outputs. Applicants must have proven experience of conducting online survey work and must demonstrate relevant
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the design and delivery of other data yet to be collected, such as citizen focus groups, as well as the analysis of this data. Application materials: Cover letter (max 2 pages), Including Writing sample