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PhD studentship on developing a living lab digital twin to integrate catchment models and climate adaptation measures for catchment management in Ireland. This PhD is part of a larger interdisciplinary
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Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
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) is a pan-European research and training initiative aimed at developing the next generation of experts in sustainable product design and circular economy practices. It brings together nine leading
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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to develop advanced neuroimaging biomarkers of Alzheimer’s disease in mid-life, asymptomatic individuals. The PhD student’s role will include designing and performing all relevant analyses to assess (a
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Thrive: Trinity College Dublin's Strategic Plan 2025 - 2030 Developing a new generation of dynamic
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this pathogen to cause infections, survive attacks by innate immune cells (macrophages and neutrophils), and develop resistance to antifungal agents (see selected publications below). The PhD student will learn
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sustainable catalyst platforms. This PhD project, Data-enhanced Quantum Chemistry for Predictive Catalyst Design, aims to Develop computational approaches for the discovery of sustainable catalysts based on low
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component development and testing towards high-value products primarily for the construction sector, but with the possibility of other sectoral uses. Activities: Some of the core PhD research activities will
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competitiveness assessment. The main tasks will be to develop models to assess life cycle cost, environmental and social impacts of mushroom production to evaluate mushroom sector sustainability. Supervision