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focusing on ensuring a just transition to a circular economy in Ireland’s food and fashion industries, with a focus on resource recovery. This project will have multiple parts to it including mapping
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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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the latest advances in AI to identify factors in pregnancy, labour and in the early neonatal period that represent increased risks for CP. We will develop novel AI algorithms for the analysis of physiological
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evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
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and operational activities across multiple teams and partners; managing major project milestones, budgets, and reporting; supporting the acquisition of external funding; ensuring scientific excellence
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from multiple high-income countries, including the UK (UKHLS), Germany (SOEP), Australia (HILDA), and the US (PSID), alongside ageing studies such as SHARE, ELSA, and TILDA. Where feasible
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McInerney – CSIS Entry Requirements: Criteria: We are interested in multiple types of candidates for a funded PhD opportunity at the University of Limerick, Limerick, Ireland. Ideally, the candidate will
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research that informs evidence-based policy and practice in maternity care. The successful candidate will provide research assistance across the clinical audits. Project Title: Multiple projects Post
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developed a suite of modelling tools together with an internationally recognised expertise in their development and usage. Multiple ongoing projects including CAPACITY and SELFS projects will further develop
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secondary bile acids have multiple signalling roles in the host and have been implicated in numerous disease states, including inflammatory bowel disease. Inflammatory bowel disease (Crohn’s disease and