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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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Department: Music Vacancy ID: 044023 Closing Date: 04-Oct-2026 The Music Department at Maynooth University invites applications for a Postdoctoral Researcher (Level 1), with a speciality in musicology to work with Professor Karen Desmond’s research team on the project ‘Polyphonic Singing and...
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The Music Department at Maynooth University invites applications for a Postdoctoral Researcher (Level 1), with a speciality in musicology to work with Professor Karen Desmond’s research team on the project ‘Polyphonic Singing and Communities of Music Writing in Medieval Britain and Ireland, c....
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, weather-resolved mapping of FLOW costs in Irish waters, alongside GIS layers for site accessibility, annual energy production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria
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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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candidate for this role will be based in the UCD School of Mathematics and Statistics and will work on adapting and extending state-of-the-art LLMs to support trustworthy synthesis of scientific evidence. The
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-centered co-design, technical innovation, and policy alignment. It integrates expertise in inclusive digital transformation, fine art, applied art, digital art, AI, cybersecurity, edge computing, and
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and data visualization techniques. *Experience working with longitudinal time course data sets. *Familiarity with multi-omics data integration approaches. *Ability to clearly document methods and create
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Information Eligibility criteria Mandatory: *PhD in Statistics, or a related field. *Strong programming skills (e.g., R, Python, or similar). *Knowledge of statistical analysis and data visualization techniques
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or he will work closely with the project PI, cultural data specialist Prof Rollefson and AI specialist Dr. Shyamasundar LB, as well as RINN AI computer scientists and UCC Digital Arts and Humanities