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Field
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of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions
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-assisted development tools. Preparing and communicating research results (e.g. documentation, internal presentations), contributing to scientific publications, and preparing open research artifacts (e.g
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academic and industrial partners across Europe. The project will develop materials ontologies, training-ready datasets, multi-modal knowledge graphs, and large-scale SciFM models, together with tools
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is an NIHR Research for Patient Benefit (RfPB) project developing culturally sensitive co-design tools for minority ethnic communities’ involvement in intervention design. This includes leading
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and AI/ML. In this role, you will advance innovative research that apply AI/ML to develop methods and tools to improve crop performance and resilience, contributing to solutions for global food security
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quantitative typology and token-based typology. - Knowledge of Universal Dependencies (UD) or Surface-syntactic UD (SUD) annotation schemes. - Knowledge of the Grew-match tool for querying treebanks. Website
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Care System analytics teams, local authorities, and community partners. The role also involves contributing to data pipelines, visualisation tools, and reproducible analytical workflows, and producing
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of modern AI tools to accelerate the entire research workflow—including literature exploration, experiment design, implementation, analysis, and dissemination. The researcher will work in a collaborative
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Europe (HORIZON-HLTH-2025-TOOL-05-03). The consortium comprises 18 partners from 12 European countries. TWIN-X builds comprehensive digital patient twins by fusing multimodal clinical data (radiology
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, tools, and strategies necessary to transition the built environment toward sustainability. Our work spans from material science to urban planning, bridging the gap between fundamental sustainability