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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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flagship undergraduate degree programmes in Mathematical Sciences, Mathematical Sciences and Physics, Financial Mathematics and Actuarial Science, and Data Science and Analytics, attract some of the highest
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-depth evidence that will serve as the base for a transversal analysis. This will include an analysis of the data gathered and produce reports for each case study that reflects the role of WISEs and their
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highly valued: multispectral UAV mapping, coastal measurements (ADCP, Kestral, wind, wave, buoy), sediment analysis (particle size) and interpretation; CFD modelling; Irish coastlines and data science. The
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, scale, and/or impact, but they typically share common challenges in how best to manage these incidents. How we gather, share and ultimately use data and information in a timely fashion in order to help
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best to manage these incidents. How we gather, share and ultimately use data and information in a timely fashion in order to help prepare responses for these events, e.g. mobilising crews, assessing
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hold a PhD degree in Food Science, Packaging Science, Chemistry, Material sciences, Food Engineering or a related science discipline. Experience in packaging science, shelf-life analysis, chemical
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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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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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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis