17 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Ireland
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understanding of chloride transport mechanisms and establish the suitability of thermodynamic modelling as a tool for durability assessment. Ultimately, the study will contribute to the development of more
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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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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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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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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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) 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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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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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
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of transfer-printable tunable narrow-linewidth laser sources for interferometric near-infrared spectroscopy (iNIRS). This research sits within CARE 2, which aims to develop a wearable biomarker sensing