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. This position is affiliated with the Cognitive Health Services Research Program (COG-HSR) within the Institute for Healthcare Policy and Innovation (IHPI). The program spans a large network of collaborators
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evaluates campaign performance metrics and produces post-campaign reports that provide insights and recommendations aligned with goals and KPIs. Builds and maintains reports and dashboards; interprets data in
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population and health-service data. You will design a new Night Heat Retention Index to identify places that fail to cool overnight, detect multi-night humid-heat streaks, and map their frequency
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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signal processing AI/ML for communication systems Self-supervised ML, meta learning PHY/MAC optimization of wireless communication systems Robust, reliable, or explainable ML Experience with large-scale
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, data science) can also apply Experience with conducting meta-analyses (methodological and field-specific knowledge) Experience managing large and complex meta-analytic datasets Ideally, knowledge
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:10.35903/TEANGA.V10I0.73 Murphy VA. Second Language Learning in the Early School Years: Trends and Contexts. Oxford University Press; 2014. Rolstad K, Mahoney K, Glass GV. The Big Picture: A Meta-Analysis of
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, axial length, and parental history of myopia to support eye care practitioners (ECPs) in identifying children most at risk. However, normative data for axial length and refractive error are currently not
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analyzing deep sequencing and single-cell data (e.g., Scanpy/Seurat, count models, batch correction, differential analyses), including large-scale in vivo Perturb-seq or related CRISPR-based perturbation
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Apply and key information This project is funded by: Department for the Economy (DfE) Fermanagh & Omagh District Council Summary Children from lower socioeconomic backgrounds often have lower