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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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. The scholarship holder will normally be expected to reside in the Munster region and may have opportunities to teach or tutor while undertaking their PhD (which would be remunerated separately). It is not possible
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-time research students only. The scholarship holder will normally be expected to reside in the Munster region and may have opportunities to teach or tutor while undertaking their PhD (which would be
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. The project, entitled Tackling Climate Misinformation in Ireland: An Evidence Base and Novel Resources for Journalists and Communications Professionals (CLiME ) examines how misleading claims, delay discourses
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to the national and international anniversary commemorations of Laurence’s birth, death, and canonisation, that will be held in France and Ireland in 2025–2030. The PhD researcher will be based at the Dublin
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Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
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-based formation in contemporary Europe; today, for example, we talk about Irish, English, Italian or Russian modernisms. The project will thus produce case studies which examine how European modernism has
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reputation for teaching and research excellence (https://www.universityofgalway.ie/our-research/ ) Project Description: Modern agriculture relies heavily on rock phosphate-based fertilizers. However, the
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Environment, Lifestyle The successful applicant will be part of an interdisciplinary team supervised by Professor Lorina Naci, and based at the Global Brain Health Institute, at the Trinity College Institute
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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