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of climate inaction, providing a baseline for long term monitoring, and marking a step-change in climate change communication and providing evidence to inform policy development in Ireland and globally
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an innovative and inclusive atmosphere and your personal development and wellbeing will be supported. We invite you to join us to help deliver on our exciting mission “To educate, nurture and discover for
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
creativity, and is one of six global hubs for medical device development. Through our renowned research institutes and four Colleges, we engage in cutting-edge research that transcends borders, creating a
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Post Summary The Complex Software Lab at Trinity College Dublin seeks a Postdoctoral Researcher for the Sign-2-Me translational project, funded under the SFI ARC Hub programme. The project aims
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to the ClimEnergise project (Climate-Informed Energy Systems Planning to Support Ireland’s Net Zero Ambitions). This role will lead the development and integration of climate-aware approaches into national energy and
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, relevant to Ireland’s economic and social development, with the aim of contributing to knowledge and informing policymaking and public debate. We have over 100 staff including economists, sociologists and
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nanomaterials. This will be achieved by developing and codifying DES-based routes to key classes of environmentally relevant nanomaterials, including (photo)electrocatalytic metal oxides; phosphate-based
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, including synthetic data experts, healthcare providers, and solution developers, to unlock new opportunities in data-driven healthcare innovation. Funded under the Innovative Health Initiative Joint
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research group at the University of Dublin, Trinity College, in collaboration with Dr Siyuan Zhan, is seeking to recruit a postdoctoral research fellow to develop lithium-ion battery management systems (BMS
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
breakthroughs into commercial healthcare solutions. In the ICUSafeNotes project, we are conducting research and development of multimodal machine learning models that includes ICU note summarisation and analysis