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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
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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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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets from various body sites, including longitudinally collected samples
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healthcare or e-health contexts. Experience with data architecture, data integration, and analytics pipelines. Familiarity with e-health platforms and wearable health technologies. Proficiency in statistical
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PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related field (completed or thesis submitted before the start date). A strong publication record in peer
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additional benefits to agricultural sectors. Therefore, the Postdoctoral Researcher will statistically evaluate the suitability and spatial coverage of current sampling sites with regards to both population
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Consolidator Grant). For this postdoctoral position, we seek a candidate with a background in computational musicology, digital humanities, computer science, artificial intelligence, mathematics/statistics, with
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candidate with a background in computational musicology, digital humanities, computer science, artificial intelligence, mathematics/statistics, with a PhD in one of these fields or a closely related field
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various sources to calibrate and validate transport models, including data related to climate change projections, extreme weather events, and infrastructure performance. Apply statistical methods and
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skills Proficiency in using Microsoft Word, Excel and statistical software packages Proven record of working in a team. *EU defines PhD equivalent 4 years fulltime research after primary degree Desirable